Showing results for 'hlt 362'

HLT 362 Statistics Complete Course HLT 362V Week 1 Discussions Questions How could graphics and/or statistics be used to misrepresent data? Where have you seen this done? What are the characteristics of a population for which a mean/median/mode would be appropriate? HLT 362V Week 2 Discussions Questions Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented? How large would your population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)? HLT 362V Week...

Answered 2 years ago by Cramster

A+ solutions with work shown for the following questions... **HLT 362 362v Module EXERCISE 20** 1\.Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? 2\.Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient's T score? 3\.Did the patient in Question 2 have more of a memory performance decline than average on the CVLT Retrieval? Provide a rationale for your answer. 4\.What is the mean ( ) and standard deviation (SD) for preoperative T score for CVLT Acquisition? 5\.Is the preoperative...

Answered 2 years ago by lancer

Class HLT 362v A+ solutions with work shown for the following questions... **EXERCISE 18** 1\. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (53.68, 64.64), where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. 2\. Which of the following values from Table 1 tells us about variability of the scores in a distribution? a.60.22 b.11.94 c.22.57 d.53.66 3\. Assuming that the distribution for General Health Perceptions is normal, 95% of...

Answered 2 years ago by lancer

Class HLT 362v A+ solutions with spreadsheet formulas... **Hypothesis Testing** **Problem 1** There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug. | | | | | | | | |-|-|-|-|-|-|-| |10|7|32|23|22|6|16| |11|20|19|6|17|35|6| |10|34|32|25|13|9|6| | | | | | | | | Let X be a random variable representing the remission time in weeks for all patients using the new drug. Assume that the distribution of x is normal. A previously used drug treatment has a mean remission time of 12.5...

Answered 2 years ago by lancer

HLT 362v Week 3 A+ solutions with work shown for the following questions... Use this as a guide to help you do your own work. EXERCISE 20 1.Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? 2.Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient's T score? 3.Did the patient in Question 2 have more of a memory performance decline than average on the CVLT Retrieval? Provide a rationale for your answer. 4.What is the mean ( ) and standard deviation (SD) for preoperative T score for CVLT...

Answered 2 years ago by lancer

_A+ Grade Solutions_ ####**HLT 362V M3 Hypothesis Testing Week 3 [NEW]** Hypothesis Testing Problem 1 There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug. 10 7 32 23 22 6 16 11 20 19 6 17 35 6 10 34 32 25 13 9 6 Let X be a random variable representing the remission time in weeks for all patients using the new drug. Assume that the distribution of x is normal. A previously used drug treatment has a mean remission time of 12.5 weeks. Does the data...

Answered 2 years ago by ajotatxe

**A+ Work! Use this as a guide to help you get a great grade! Class HLT 362 EXERCISE 11 Questions to be Graded 1.What demographic variables were measured at least at the interval level of measurement? 2.What statistics were used to describe the length of labor in this study? Were these appropriate? 3.What other statistic could have been used to describe the length of labor? Provide a rationale for your answer. 4.Were the distributions of scores similar for the experimental and control groups for the length of labor? Provide a rationale for your answer. 5.Were the experimental and...

Answered 2 years ago by lancer

Students Name Course Name: HLT 362 06/21/2016 Week 2 assignment HLT 362 Week 2 Assignment Workbook Exercise 18 Exercise 18 Questions 1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (, ), where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. 2. Which of the following values from Table 1 tells us about...

Answered 2 years ago by Guide4Students

A+ Tutorial for HLT 362 UPDATED JUNE 2014 (see below) and includes everything. Use this as a helpful guide so you can get a great grade! Includes the following files: HLT 362 EXERCISE 11 Questions to be graded.pdf HLT 362 EXERCISE 20 Questions to be graded.pdf HLT 362 EXERCISE 23 Questions to be graded.pdf HLT 362 EXERCISE 24 Questions to be graded.pdf HLT 362 Module 1 Descriptive Statistics Excel Worksheet.xlsx HLT 362 Module 1 Exercise 16.pdf HLT 362 Module 2 Exercise 29.pdf HLT 362 Module 2 Population and Sampling Distribution Excel.xlsx HLT 362 Module 3 Exercise...

Asked 2 years ago by lancer

_A+ Grade Solutions_ ####**HLT 362 Entire Course [100% Correct Solutions]** The zipped file contains **A+ Grade Solutions to the following exercises, discussion questions, and assignments:** HLT 362 Module 1 Descriptive Statistics Excel Worksheet HLT 362 Module 1 Exercise 16 HLT 362 Module 2 Exercise 29 HLT 362 Module 2 Population and Sampling Distribution Excel HLT 362 Module 3 Exercise 31 HLT 362 Module 3 Hypothesis Excel Worksheet HLT 362 Module 3 InteliBoard Assessment HLT 362 Module 4 ANOVA Excel Worksheet HLT 362 Module 4 Exercise 36 HLT 362 Module 5 Correlation...

Answered 2 years ago by ajotatxe

HLT362V Week 1 Homework EX#11 and #16 1. What demographic variables were measured at least at the interval level of measurement? It was the age, income, length of labor, return to work, and number of hours working per week that was measured at the interval/ratio level. 2. What statistics were used to describe the length of labor in this study? Were these appropriate? It was described for both the experimental and control groups using means. Means and standard deviation were appropriate since length of labor is measured at the ratio level. 3. What other statistic could have been used...

Answered 2 years ago by AMANDA80

A+ Solutions (HLT-362V-O103) HLT-362V Week 2 Workbook Exercise 18 Applied Statistics for Health Care Professionals - Population and Sampling Distributions Workbook Exercise 18 Questions to be graded Complete Exercise 18 in Statistics for Health Care Research: A Practical Workbook. In order to receive full credit on calculated answers, please show your work. (Use Word's equation editor, etc., and/or provide a short written description as to how you obtained the final result 1.Assuming that the distribution is normal for weight relative to the ideal and 99% of the...

Answered 2 years ago by a+tutor

A+ Solutions (HLT-362V-O103) HLT-362V Week 3 Benchmark: Hypothesis Testing Excel Worksheet Applied Statistics for Health Care Professionals - Hypothesis Testing Refer to the "Visual Learner: Statistics" for examples to help complete the problems in the attached worksheet. Also, to aide in the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided. Hypothesis Testing Answer each question completely to receive full credit. 1. There is a new drug that is used to treat leukemia. The...

Answered 2 years ago by a+tutor

Timothy Ogbu Week 3 Workbook HLT 362V Exercise 20 1. Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? Answer. Patient 3 with a T score of 63 2. Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient\'s T score? Answer. Patient 4 with a T score of 23 3. Did the patient in Question 2 have more of a memory performance decline than average on the CVLT Retrieval? Provide a rationale for your answer. Answer. According to the case study the average drop in CVLT Retrieval was 9.6. Patient 4 had a drop of 44-23 21....

Answered 2 years ago by timogo99

15 A+ Solutions (HLT-362V-O103) HLT-362V Week 3 Benchmark: Hypothesis Testing Excel Worksheet Applied Statistics for Health Care Professionals - Hypothesis Testing Refer to the "Visual Learner: Statistics" for examples to help complete the problems in the attached worksheet. Also, to aide in the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided. Hypothesis Testing Answer each question completely to receive full credit. 1. There is a new drug that is used to treat leukemia. The following data...

Answered 2 years ago by professor22

HLT 362 Exercise 36 Hlt 362 Exercise 36 1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) , p . Discuss each aspect of these results. The F-value is high enough at the 5% level of significance to suggest a significant difference between the control and treatment groups. The p-value hence this suggests a rejection of the null hypothesis, meaning that the control and treatment groups are found to be different. 2. State the null...

Answered 2 years ago by solarc

HLT 362 Statistics Exercise 16 Date: 04/20/14 Class: HLT -362-0191 Applied Statistics Exercise 16 Mean and Deviation 1. The null hypothesis is for the study is: There is no difference in the levels of empowerment, self-care self-efficacy, and depression of patients with ESRD who attend an empowerment program versus those who do not. 2. What was the average baseline depression score of the experimental group subjects? The average or mean baseline depression score of the experimental group was . 3. Compare the baseline and the posttest means of the self-care self-efficacy variable for the...

Answered 2 years ago by solarc

A+ Solution HLT-362V Week 1 Mean, Variance and Standard Deviation Excel Worksheet Applied Statistics for Health Care Professionals - What Is Statistics and Why It Is Important to Health Sciences? 100% Correct Name: Date: Topic One: Mean, Variance, and Standard Deviation Please type you answer in the cell beside the question. 1. Identify the sampling technique being used. Every 20th patient that comes into the emergency room is given a satisfaction survey upon their discharge. a. random sampling b. cluster sampling c. systematic sampling d. stratified sampling e....

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 1 Topic 1: DQ 1 Applied Statistics for Health Care Professionals - What Is Statistics and Why It Is Important to Health Sciences? How can graphics and/or statistics be used to misrepresent data? Where have you seen this done?

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 1 Topic 1: DQ 2 Applied Statistics for Health Care Professionals - What Is Statistics and Why It Is Important to Health Sciences? What are the characteristics of a population for which it would be appropriate to use mean/median/mode? When would the characteristics of a population make them inappropriate to use?

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 1 Workbook Exercises 11 and 16 Applied Statistics for Health Care Professionals - What Is Statistics and Why It Is Important to Health Sciences? Complete Exercises 11 and 16 in Statistics for Health Care Research: A Practical Workbook, and submit as directed by the instructor. In order to receive full credit on calculated answers, please show your work. (Use Word's equation editors, etc., and/or provide a short written description as to how you obtained the final result.) Exercises 11 Questions to be graded 1. What demographic variables...

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 2 Population and Sampling Distribution Excel Worksheet Applied Statistics for Health Care Professionals - Population and Sampling Distributions Refer to "Visual Learner: Statistics" for examples to help complete the problems in the attached worksheet. Also, to aide in the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided. Topic 2: Population and Sampling Distribution Excel Worksheet Directions: Answer all questions and submit to instructor at the end of...

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 2 Topic 2: DQ 1 Applied Statistics for Health Care Professionals - Population and Sampling Distributions Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented?

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 2 Topic 2: DQ 2 Applied Statistics for Health Care Professionals - Population and Sampling Distributions Explain each sampling technique discussed in the Visual Learner: Statistics in your own words, and give examples of when each technique would be appropriate.

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 3 Topic 3: DQ 1 Applied Statistics for Health Care Professionals - Hypothesis Testing Explain when a z-test would be appropriate over a t-test.

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 3 Topic 3: DQ 2 Applied Statistics for Health Care Professionals - Hypothesis Testing Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., 0.01)? What are some situations in which you might accept a higher level (e.g., 0.1)?

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 4 Topic 4: DQ 1 Applied Statistics for Health Care Professionals - Analysis of Variance (ANOVA) How would you explain the analysis of variance, assuming that your audience has not had a statistics class before?

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 4 Topic 4: DQ 2 Applied Statistics for Health Care Professionals - Analysis of Variance (ANOVA) What is an interaction? Describe an example and identify the variables within your population (work, social, academic, etc.) for which you might expect interactions?

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 4 Workbook Exercise 36 Questions to be Graded Applied Statistics for Health Care Professionals - Analysis of Variance (ANOVA) Complete Exercise 36 in Statistics for Health Care Research: A Practical Workbook. In order to receive full credit on calculated answers, please show your work. (Use Word's equation editor, etc., and/or provides a short written description as to how you obtained the final result.) 1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with...

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 5 Correlation/Regression and Chi Square Excel Worksheet Applied Statistics for Health Care Professionals - Discovering Relationships and Building Models 100% Correct Refer to the "Visual Learner: Statistics" for examples to help complete the problems in the attached worksheet. Also, to aide in the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided. SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES The following table represents systolic and diastolic...

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V WEEK 5 TOPIC 5: DQ 1 Applied Statistics for Health Care Professionals - Discovering Relationships and Building Models Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase.

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 5 Topic 5: DQ 2 Applied Statistics for Health Care Professionals - Discovering Relationships and Building Models Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately?

Answered 2 years ago by a+tutor

A+ Solutions HLT-362V Week 5 Workbook Exercises 23 and 24 + Bonus Question Applied Statistics for Health Care Professionals - Discovering Relationships and Building Models Complete Exercise 23 and 24 in Statistics for Health Care Research: A Practical Workbook. In order to receive full credit on calculated answers, please show your work. (Use Word's equation editor, etc., and/or provides a short written description as to how you obtained the final result.) Exercise 24 includes 10 questions and a Bonus question. Answer all questions including the Bonus question. EX #...

Answered 2 years ago by a+tutor

_A+ Grade Work_ ####**HLT-362V Week 3 Topic 3: DQ 2** ##### #####Applied Statistics for Health Care Professionals - Hypothesis Testing Researchers routinely choose an alpha level of for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., )? What are some situations in which you might accept a higher level (e.g., 0.1)?

Answered 2 years ago by ajotatxe

A+ Grade Solutions HLT 362V Exercise 20 EXERCISE 20 1. Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? 2. Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient's T score? 3. Did the patient in Question 2 have more of a memory performance decline than average on the CVLT Retrieval? Provide a rationale for your answer. 4. What is the mean ( ) and standard deviation (SD) for preoperative T score for CVLT Acquisition? 5. Is the preoperative Retrieval T score for Patient 5 above or...

Answered 2 years ago by ajotatxe

Hlt 362v Exercise 36 The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) , p . Discuss each aspect of these results. The F-value is high enough at the 5% level of significance to suggest a significant difference between the control and treatment groups. The p-value , so this recommends a rejection of the null hypothesis, meaning that the control and treatment groups are found to be different. State the null hypothesis for the Baird and Sands...

Answered 2 years ago by solarc

_A+ Grade Solution_ ####**HLT-362V Week 2 Topic 2 DQ 2** #####Topic: Population and Sampling Distributions Explain each sampling technique discussed in the Visual Learner: Statistics in your own words, and give examples of when each technique would be appropriate.

Answered 2 years ago by ajotatxe

_A+ Grade Solution_ ####**HLT-362V Week 3 Topic 3 DQ 1** #####Topic: Hypothesis Testing Explain when a z-test would be appropriate over a t-test.

Answered 2 years ago by ajotatxe

_A+ Grade Solution_ ####**HLT-362V Week 4 Topic 4 DQ 1** #####Topic: Hypothesis Testing How would you explain the analysis of variance, assuming that your audience has not had a statistics class before?

Answered 2 years ago by ajotatxe

_A+ Grade Solution_ ####**HLT-362V Week 5 Topic 5 DQ 1** #####Topic: Discovering Relationships and Building Models Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase.

Answered 2 years ago by ajotatxe

_A+ Grade Response_ ####**HLT-362V Week 5 Workbook Exercises 23 and 24** #####Topic: Discovering Relationships and Building Models Complete Exercise 23 and 24 in Statistics for Health Care Research: A Practical Workbook. **EXERCISE 23 Questions to be Graded** 1. What is the r value for the relationship between Hamstring strength index 60/s and the Shuttle run test? Is this r value significant? Provide a rationale for your answer. 2. Consider r = and r = −. Which r value is stronger? Provide a rationale for your answer. 3. Describe the direction of the relationship between the...

Answered 2 years ago by ajotatxe

####**HLT-362V Week 3 Benchmark - Hypothesis Testing Excel Worksheet** #####Topic: Topic: Hypothesis Testing Answer each question completely to receive full credit 1. There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug. 10 7 32 23 22 6 16 11 20 19 6 17 35 6 10 34 32 25 13 9 6 Let X be a random variable representing the remission time in weeks for all patients using the new drug. Assume that the distribution of x is normal. A previously used drug treatment has a mean remission...

Answered 2 years ago by ajotatxe

_A+ Grade Response_ ####**HLT-362V Week 3 Workbook Exercise 20** #####Topic: Hypothesis Testing Complete Exercise 20 in Statistics for Health Care Research: A Practical Workbook. 1) Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? 2) Which patient scored the lowest on postoperative CVLT Retrieval? What was this patients T score? 3) Did the patient in Question 2 have more of a memory performance decline than average on the CVLT Retrieval? Provide a rationale for your answer. 4) What is the mean (X) and standard deviation...

Answered 2 years ago by ajotatxe

A+ Grade Solutions HLT-362V Week 2 Workbook Exercise 18 Topic: Population and Sampling Distributions Complete Exercise 18 in Statistics for Health Care Research: A Practical Workbook. 1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (,), Where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. 2. Which of the following values from Table 1 tells us about variability of the scores in a distribution? 3. Assuming that the distribution for General Health...

Answered 2 years ago by ajotatxe

_A+ Grade Solutions_ ####**HLT-362V Week 1 Mean, Variance and Standard Deviation Excel Worksheet** #####Topic: What Is Statistics and Why It Is Important to Health Sciences? Please type your answer in the cell beside the question. 1. Identify the sampling technique being used. Every 20th patient that comes into the emergency room is given a satisfaction survey upon their discharge. a. random sampling b. cluster sampling c. systematic sampling d. stratified sampling e. none of the above 2. The formula for finding the sample mean is _________________. 3. The formula for finding...

Answered 2 years ago by ajotatxe

A+ Grade Solution HLT-362V Topic 3 DQ 2 Topic: Hypothesis Testing Researchers routinely choose an alpha level of for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., )? What are some situations in which you might accept a higher level (e.g., 0.1)?

Answered 2 years ago by ajotatxe

A+ Grade Solution HLT-362V Topic 4 DQ 2 Topic: Analysis of Variance (ANOVA) What is an interaction? Describe an example and identify the variables within your population (work, social, academic, etc.) for which you might expect interactions?

Answered 2 years ago by ajotatxe

A+ Grade Solution HLT-362V Topic 5 DQ 2 Topic: Discovering Relationships and Building Models Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately?

Answered 2 years ago by ajotatxe

HLT 362v EXERCISE 24 Questions to be Graded What is the r value listed for the relationship between variables 4 and 9? 2. Describe the correlation r ** using words. Is this a statistically significant correlation? Provide a rationale for your answer. 3. Calculate the percentage of variance explained for r . Is this correlation clinically important? Provide a rationale for your answer. 4. According to Table 2, r is listed as the correlation between which two items? Describe this relationship. What is the effect size for this relationship, and what size sample would be needed to...

Answered 2 years ago by solarc

HLT 362v ANOVA Sue planned to use 2 noise conditions and then analyze her outcomes using a t-test for independent groups. Describe the study Sue might plan where she would use a one-way analysis of variance (ANOVA) for independent groups instead of a t-test to study differences between noise levels. What is her independent variable here? Describe the conditions she could create for this study. What is her dependent variable? Describe a way to measure the DV so that each participant would have one score at the end that would be on a continuous scale of measurement. Support the...

Answered 2 years ago by solarc

HLT 362v EXERCISE 24 Questions to be Graded 1. What is the r value listed for the relationship between variables 4 and 9? The listed r value is . 2. Describe the correlation r ** using words. Is this a statistically significant correlation? Provide a rationale for your answer. The correlation coefficient shows a negative relationship between the variables. As the p value for this correlation coefficient is less than so the correlation is significant at both and significance level. 3. Calculate the percentage of variance explained for r . Is this correlation clinically...

Answered 2 years ago by solarc

HLT 362v EXERCISE 23 Answers Questions to be Graded 1. What is the r value for the relationship between Hamstring strength index 60%/s and the Shuttle run test? Is this r value significant? Provide a rationale for your answer. The required r value is and this r value is not significant because the p-value for this correlation coefficient or r is which is more than or and hence at 5% and 10% both level we fail to reject the null hypothesis of insignificance and the conclusion is the r value is not significant. 2. Consider r and r . Which r value is stronger? Provide a...

Answered 2 years ago by solarc

HLT 362v Exercise 20 Answers 1) Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? Patient 3 scored the highest on the preoperative CVLT Acquisition with a T score of 63. 2) Which patient scored the lowest on postoperative CVLT Retrieval? What was this patients T score? Patient 4 scored the lowest on the postoperative CVLT Retrieval with a T score of 23. 3) Did the patient in Question 2 have more of a memory performance decline than average on the CVLT Retrieval? Provide a rationale for your answer. Yes, the average memory performance...

Answered 2 years ago by solarc

HLT-362V Week 5 Topic 5 DQ 1.. 5 Topic: Discovering Relationships and Building Models Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase. Sol:_ In the prime it is stated that the cigrattes is correlated linearly to pulse rate. But in the conclusion it is mentioned that increase in pulse rate caused by cigarette. So, the error in conclusion is that " Correlation does not imply the causal...

Answered 2 years ago by professor22

12 Class HLT 362v A solutions with spreadsheet formulas... Hypothesis Testing Problem 1 There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug. 10 7 32 23 22 6 16 11 20 19 6 17 35 6 10 34 32 25 13 9 6 Let X be a random variable representing the remission time in weeks for all patients using the new drug. Assume that the distribution of x is normal. A previously used drug treatment has a mean remission time of 12.5 weeks. Does the data indicate that the mean remission time using...

Answered 2 years ago by professor22

5 HLT-362V Week 4 Topic 4: DQ 2 Applied Statistics for Health Care Professionals - Analysis of Variance (ANOVA) What is an interaction? Describe an example and identify the variables within your population (work, social, academic, etc.) for which you might expect interactions? What is an interaction? Describe an example and identify the variables within your population (work, social, academic, etc.) For which you might expect interactions? Interaction effect represents the combined effects of factors on the dependent variable. Consider the scenario of testing the effect of college and...

Answered 2 years ago by professor22

Prof. Gascon HLT 362V Name ____________ Exercise 11 The demographic variables would be income, length of labor, number of hours worked, and weeks until the primiparous mothers return to work. Data measured at the interval level provide the best information on the nature of the relationship. (Burns & Grove, 2015.) Mean and standard deviation were used in this study. While I think they were appropriate, I do feel there are certain things that can speed up or slow down the labor process. The Standard Deviation equals hours and the Mean equals hours for the experimental group....

Answered 2 years ago by Guide4Students

Name: Students Name DATE 07/12/2016 CLASS: HLT 362V WEEK 5 ASSIGNMENT EXERCISES 23& 24 Exercise 23 1. The r value for the relationship between Hamstring strength index 60% and the Shuttle run test is and p. This value is not significant because the p is greater than which means that it is not significant, and also there is no * or ** next to the value. 2. Neither the r value of or is stronger. and are both the strongest possible relationships....

Answered 2 years ago by Guide4Students

**HLT 362 Week 1** Assignments **Module 1 Descriptive Statistics Excel Worksheet** A formula for the sample mean is A formula for the sample variance is A formula for the sample standard deviation is A computational formula for the sample variance is For the following sample of scores: 2, 6, 1, 4, 2, 2, 4, 3, 2 Find the mean, variance and standard deviation A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5. What is the value for the new sample mean? Using Excel create a histogram and a line graph using the scores in the...

Asked 2 years ago by lancer

####HLT 362 Week 3 Assignments **Module 3 Exercise 31** What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest and 3 months outcomes? Is this t ratio statistically significant? Provide a rationale for your answer. Which t ratio listed in Table 3 represents the smallest relative difference between the pretest and 3 months? Is this t ratio statistically significant? What does this result mean? What are the assumptions for conducting a t-test for...

Asked 2 years ago by lancer

A+ TUTORIAL, 100% CORRECT **HLT 362 Module 2 Population and Sampling Distribution Excel Worksheet** 1\. For a normal distribution that has a mean of 100 and a standard deviation of 8. Determine the Z-score for each of the following X values: X = 108 X = 112 X = 98 X = 70 X = 124 Use the information in 1 A to determine the area or probability of the following: P(x > 108) P(x < 98) P(92 < x < 108) P(84 < x < 116) P(x < 84)

Asked 2 years ago by lancer

HLT 362 Week 2 DQs Discussion Questions Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented? How large would your population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)?

Asked 2 years ago by lancer

HLT 362 Week 3 DQs Discussion Questions Suppose you hear an old-timer say, Why, in my day, kids were much more respectful and didnt cause as much trouble as they do nowadays! Formulate a hypothesis related to this statement that you could test. How would you test it? Researchers routinely choose an ?-level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower ? -level (e.g. 0.01)? What are some situations in which you might accept a higher level (e.g. 0.1)?

Asked 2 years ago by lancer

HLT 362 Week 4 DQs Discussion Questions If the result of an ANOVA experiment was "not significant", was the experiment a failure? Provide reasoning and examples (real or hypothetical) to support your argument. What is an interaction? Describe an example; what are the variables within your population (work, social, academic, etc.) for which you might expect interactions? How would you explain the analysis of variance, assuming that your audience has not had a statistics class before?

Asked 2 years ago by lancer

**HLT 362 Week 1 Module 1 Descriptive Statistics** **Module 1 Descriptive Statistics Excel Worksheet** A formula for the sample mean is A formula for the sample variance is A formula for the sample standard deviation is A computational formula for the sample variance is For the following sample of scores: 2, 6, 1, 4, 2, 2, 4, 3, 2 Find the mean, variance and standard deviation A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5.  What is the value for the new sample mean? Using Excel create a histogram and a line graph using...

Answered 2 years ago by Euler

**HLT 362 Week 1 Module 1 Exercise 16** **Module 1 Exercise 16** The researchers analyzed the data they collected as though it were at what level of measurement? (Your choices are: Nominal, Ordinal, Interval/ratio, or Experimental) What was the mean posttest empowerment score for the control group? Compare the mean baseline and posttest depression scores of the experimental group. Was this an expected finding? Provide a rationale for your answer. Compare the mean baseline and posttest depression scores of the control group. Do these scores strengthen or weaken the validity of the...

Answered 5 years ago by moduloP

**HLT 362 Week 2 Module 2 Exercise 29**

Answered 7 years ago by moduloP

**HLT 362 Week 1 Module 2 Population Sampling Distribution**

Answered 5 years ago by moduloP

**HLT 362 Week 3 Module 3 Exercise 31** What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest and 3 months outcomes? Is this t ratio statistically significant? Provide a rationale for your answer. Which t ratio listed in Table 3 represents the smallest relative difference between the pretest and 3 months?  Is this t ratio statistically significant? What does this result mean? What are the assumptions for conducting a t-test for dependent groups...

Answered 2 years ago by Euler

**HLT 362 Week 3 Module 3 Hypothesis Excel Worksheet** There were two independent groups of students who took a school course by different modes.  The first sample of students took the course in the online mode and the second sample took the course in the conventional face-to-face mode.  Using the sample data, determine if there is a significant difference in the scores between the two groups. SE[M1-M2] t-score Are the two sample means sufficient to conclude that the educational modes are significantly different?  Give reasons for your decision.

Answered 6 years ago by moduloP

**HLT 362 Week 3 Module 3 InteliBoard Assessment** The mean of the sampling distribution is equal to The standard error of the sampling distribution when we know the population standard deviation is equal to The standard error of the sampling distribution when we do not know the population standard deviation is equal to When the population standard deviation is known, the sampling distribution is a When the population standard deviation is not known, the sampling distribution is a If the size of the sample is increased the standard error Independent samples are Dependent...

Answered 2 years ago by Euler

**HLT 362 Week 4 ANOVA Excel Worksheet** SYSTOLIC BLOOD PRESSURE IN DIFFERENT AGE GROUPS The following table contains a random sample of 40 women partitioned into three groups: Group 1: ages below 20 Group 2: ages 20 through 40 Group 3: ages over 40 The values in the table are the systolic blood pressure levels The hypothesis test: H0:u1=u2=u3 H1: at least one of the treatment means is different Use the Excel Analysis ToolPak to create an Anova Single Factor table.  Is there sufficient evidence to support the claim that women in the different age categories have different mean...

Answered 6 years ago by moduloP

**HLT 362 Week 4 Exercise 36** The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) 9.619, p 0.005. Discuss each aspect of these results. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in mobility scores over 12 weeks? Provide a rationale for your answer. ...

Answered 2 years ago by Euler

**HLT 362 Week 5 Module 5 Correlation Regression and Chi Square** SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES The following table represents systolic and diastolic blood pressure measurements of 40 females. A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements. B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure. C) What is the best predicted value for diastolic pressure given that a woman has a systolic level of 100?

Answered 6 years ago by moduloP

**HLT 362 Week 5 Module 5 Exercise 27** _Module 5 Exercise 27 Simple Linear Regression _ What are the independent and dependent variables in Figures 2, A, B, and C? How would you describe the relationship between the variables in Figures 2, A, B, and C? What are the independent and dependent variables in Figures 3, A, B, and C? How would you describe the relationship between the variables in Figures 3, A, B, and C? Was there a significant difference in the y intercept for the lines of best fi t in Figure 2 from the y intercept for the lines of best fi t in Figure 3? Provide a...

Answered 5 years ago by moduloP

**HLT 362 Week 5 Module 5 Exercise 40** According to the Introduction, what categories were reported to be statistically significant? In Table 1, is the No. in household reported as statistically significant among the three groups (uninsured, Medicaid, and privately insured)? Provide a rationale for your answer. Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your answer. How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale for your answer. Does Marital Status or Education (of adults) have a greater...

Answered 7 years ago by moduloP

**HLT 362 Week 1 DQs** How could graphics and/or statistics be used to misrepresent data? Where have you seen this done? What are the characteristics of a population for which a mean/median/mode would be appropriate? Inappropriate?

Answered 5 years ago by moduloP

**HLT 362 Week 1** **Assignments** **Module 1 Descriptive Statistics Excel Worksheet** A formula for the sample mean is A formula for the sample variance is A formula for the sample standard deviation is A computational formula for the sample variance is For the following sample of scores: 2, 6, 1, 4, 2, 2, 4, 3, 2 Find the mean, variance and standard deviation A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5.  What is the value for the new sample mean? Using Excel create a histogram and a line graph using the scores in...

Answered 4 years ago by moduloP

**HLT 362 Week 2 DQs** Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented? How large would your population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)?

Answered 7 years ago by moduloP

**HLT 362 Week 2** **Assignments** **Module 2 Exercise 29** Were the groups in this study independent or dependent? Provide a rationale for your answer. t 3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer. Is t 1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study. Examine the t ratios in Table VI. Which t ratio indicates the largest difference between the males and females post MI in this study? Is this t ratio significant? Provide a...

Answered 6 years ago by moduloP

**HLT 362 Week 3 DQs** Suppose you hear an old-timer say, Why, in my day, kids were much more respectful and didnt cause as much trouble as they do nowadays! Formulate a hypothesis related to this statement that you could test. How would you test it? Researchers routinely choose an ?-level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower ? -level (e.g. 0.01)? What are some situations in which you might accept a higher level (e.g. 0.1)?

Answered 5 years ago by moduloP

**HLT 362 Week 3** **Assignments Module 3 Exercise 31** What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest and 3 months outcomes? Is this t ratio statistically significant? Provide a rationale for your answer. Which t ratio listed in Table 3 represents the smallest relative difference between the pretest and 3 months?  Is this t ratio statistically significant? What does this result mean? What are the assumptions for conducting a t-test for...

Answered 5 years ago by moduloP

**HLT 362 Week 4 DQs** If the result of an ANOVA experiment was "not significant", was the experiment a failure? Provide reasoning and examples (real or hypothetical) to support your argument. What is an interaction? Describe an example; what are the variables within your population (work, social, academic, etc.) for which you might expect interactions?

Answered 6 years ago by moduloP

**HLT 362 Week 4** **Assignments Module 4 ANOVA Excel Worksheet** SYSTOLIC BLOOD PRESSURE IN DIFFERENT AGE GROUPS The following table contains a random sample of 40 women partitioned into three groups: Group 1: ages below 20 Group 2: ages 20 through 40 Group 3: ages over 40 The values in the table are the systolic blood pressure levels The hypothesis test: H0:u1=u2=u3 H1: at least one of the treatment means is different Use the Excel Analysis ToolPak to create an Anova Single Factor table.  Is there sufficient evidence to support the claim that women in the different age...

Answered 7 years ago by moduloP

**HLT 362 Week 5 DQs** Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately? What is an example in the world around you for which you would use a Chi-square analysis?

Answered 2 years ago by Euler

**HLT 362 Week 5** **Assignments Module 5 Correlation/Regression and Chi Square Excel Worksheet** SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES The following table represents systolic and diastolic blood pressure measurements of 40 females. A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements. B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure. C) What is the best predicted value for diastolic pressure given that a woman...

Answered 6 years ago by moduloP

_100% Correct Solutions & Answers_ ####**HLT 362 Module 4 ANOVA Excel Worksheet** The following table contains a random sample of 40 women partitioned into three groups: Group 1: ages below 20 Group 2: ages 20 through 40 Group 3: ages over 40 The values in the table are the systolic blood pressure levels The hypothesis test: H0:u1=u2=u3 H1: at least one of the treatment means is different Use the Excel Analysis ToolPak to create an Anova Single Factor table. Is there sufficient evidence to support the claim that women in the different age categories have different mean blood...

Answered 2 years ago by ajotatxe

_A+ Grade Solutions_ ####**HLT 362 Module 5 Correlation Regression and Chi Square Excel Worksheet** The following table represents systolic and diastolic blood pressure measurements of 40 females. SYSTOLIC: 104, 99, 102, 114, 94, 101, 108, 104, 123, 93, 89, 112, 107, 116, 181, 98, 100, 127, 107, 116, 97, 155, 106, 110, 105, 118, 133, 113, 113, 107, 95, 108, 114, 125, 124, 92, 119, 93, 106 Diastolic: 61, 64, 65, 76, 58, 66, 61, 41, 72, 61, 56, 62, 48, 62, 102, 61, 53, 74, 67, 71, 64, 85, 59, 70, 69, 82, 83, 75, 66, 67, 59, 72, 79, 73, 73, 85, 46, 81, 64, 64 Use the Excel Analysis...

Answered 2 years ago by ajotatxe

HLT 362 Week 5 DQs Discussion Questions: Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately? What is an example in the world around you for which you would use a Chi-square analysis? Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase. A+ Grade Guided Response

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 1 Descriptive Statistics Excel Worksheet** Please type your selection in the cell beside the question: 1. A formula for the sample mean is 2. A formula for the sample variance is 3. A formula for the sample standard deviation is 4. A computational formula for the sample variance is 5. For the following sample of scores: 2, 6, 1, 4, 2, 2, 4, 3, 2 Find the mean, variance and standard deviation 6. A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5. What...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [UPDATED]_ ####**HLT 362 Module 1 Exercise 16 - Mean and Standard Deviation** 1- The researchers analyzed the data they collected as though it were at what level of measurement? (Your choices are: Nominal, Ordinal, Interval/ratio, or Experimental) 2- What was the mean posttest empowerment score for the control group? 3- Compare the mean baseline and posttest depression scores of the experimental group. Was this an expected finding? Provide a rationale for your answer. 4- Compare the mean baseline and posttest depression scores of the control group. Do these...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 2 Exercise 29: t-Test for Independent Groups** 1- Were the groups in this study independent or dependent? Provide a rationale for your answer. 2- t - describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer. 3- Is t - significant? Provide a rationale for your answer. Discuss the meaning of this result in this study. 4- Examine the t ratios in Table VI. Which t ratio indicates the largest difference between the males and females post MI in...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 2 Population and Sampling Distribution Excel** 1 A. For a normal distribution that has a mean of 100 and a standard deviation of 8. Determine the Z-score for each of the following X values: X = 108 X = 112 X = 98 X = 70 X = 124 1 B. Use the information in 1 A to determine the area or probability of the following: P(x > 108) P(x < 98) P(92 < x < 108) P(84 < x < 116) P(x < 84)

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 3 Exercise 31 t-Test for Dependent Groups** 1. What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? 2. Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest and 3 months outcomes? Is this t ratio statistically significant? Provide a rationale for your answer. 3. Which t ratio listed in Table 3 represents the smallest relative difference between the pretest and 3 months? Is this t ratio statistically significant? What does this result...

Answered 2 years ago by ajotatxe

A+ Graded Solutions [100% Correct] HLT 362 Module 3 Hypothesis Excel Worksheet Directions: Be sure to answer both Problems 1 and 2 by clicking on the tabs at the bottom of the screen. Answer all problems and submit to instructor at the end of module 3. 1. A random sample is selected from a normal population. The population mean is μ=60 and the population standard deviation is σ=15. After a treatment is given to the members of the sample, the sample mean is M=65. The sample size is n=25. A) The Hypothesis Test: a= Ho: μ=60 H1: μ60 B) SE[M] C) Z D) Is the sample mean...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 3 InteliBoard Assessment** Directions: Answer all questions and submit to instructor at the end of Module 3 Please type your selection in the cell beside the question: 1. The mean of the sampling distribution is equal to __________ 2. The standard error of the sampling distribution when we know the population standard deviation is equal to __________ 3. The standard error of the sampling distribution when we do not know the population standard deviation is equal to __________ 4. When the population standard deviation is...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 4 Exercise 36 Analysis of Variance (ANOVA)** 1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) , p . Discuss each aspect of these results. 2. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [UPDATED]_ ####**HLT 362 Module 4 ANOVA Excel Worksheet** The following table contains a random sample of 40 women partitioned into three groups: Group 1: ages below 20 Group 2: ages 20 through 40 Group 3: ages over 40 The values in the table are systolic blood pressure levels The Hypothesis test: H0: u1=u2=u3 H1: at least one of the treatment means is different Use the Excel Analysis Toolpak to create an Anova- Single factor table. Is there sufficient evidence to support the claim that women in different age categories have different mean blood pressure...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 5 Exercise 27 Simple Linear Regression** 1. What are the independent and dependent variables in Figures 2, A, B, and C? How would you describe the relationship between the variables in Figures 2, A, B, and C 2. What are the independent and dependent variables in Figures 3, A, B, and C? How would you describe the relationship between the variables in Figures 3, A, B, and C? 3. Was there a significant difference in the y intercept for the lines of best fi t in Figure 2 from the y intercept for the lines of best fi t in Figure 3?...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 5 Exercise 40 Chi Square (x2)** 1. According to the Introduction, what categories were reported to be statistically significant? 2. In Table 1, is the No. in household reported as statistically significant among the three groups (uninsured, Medicaid, and privately insured)? Provide a rationale for your answer. 3. Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your answer. 4. How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale for your answer. 5....

Answered 2 years ago by ajotatxe

_A+ Graded Solutions [100% Correct]_ ####**HLT 362 Module 5 Correlation Regression and Chi Square Excel Worksheet** Directions: Answer all problems and submit to instructor at the end of Module 5 The following table represents systolic and diastolic blood pressure measurements of 40 females: SYSTOLIC: 104, 99, 102, 114, 94, 101, 108, 104, 123, 93, 89, 112, 107, 116, 181, 98, 100, 127, 107, 116, 97, 155, 106, 110, 105, 118, 133, 113, 113, 107, 95, 108, 114, 125, 124, 92, 119, 93, 106 Diastolic: 61, 64, 65, 76, 58, 66, 61, 41, 72, 61, 56, 62, 48, 62, 102, 61, 53, 74, 67, 71, 64, 85,...

Answered 2 years ago by ajotatxe

_A+ Graded Solutions_ ####**HLT 362 Week 1 DQs** DQ 1: How could graphics and/or statistics be used to misrepresent data? Where have you seen this done? DQ 2: What are the characteristics of a population for which it would be appropriate to use mean/median/mode? When would the characteristics of a population make them inappropriate to use?

Answered 2 years ago by ajotatxe

_A+ Graded Solutions_ ####**HLT 362 Week 2 DQs** DQ 1: Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented? DQ 2: How large would your population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)?

Answered 2 years ago by ajotatxe

_A+ Graded Solutions_ ####**HLT 362 Week 3 DQs** DQ 1: Suppose you hear an old-timer say, Why, in my day, kids were much more respectful and didn't cause as much trouble as they do nowadays! Formulate a hypothesis related to this statement that you could test. How would you test it? DQ 2: Researchers routinely choose an α-level of of for testing their hypotheses. What are some experiments for which you might want a lowerα -level (e.g. )? What are some situations in which you might accept a higher level (e.g. 0.1)?

Answered 2 years ago by ajotatxe

_A+ Grade Solutions [UPDATED]_ ####**HLT 362 Week 4 DQs** DQ 1: If the result of an ANOVA experiment was "not significant", was the experiment a failure? Provide reasoning and examples (real or hypothetical) to support your argument. DQ 2: What is an interaction? Describe an example; what are the variables within your population (work, social, academic, etc.) for which you might expect interactions?

Answered 2 years ago by ajotatxe

_A+ Grade Solutions [UPDATED]_ ####**HLT 362 Week 5 DQs** DQ 1: Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately? DQ 2: What is an example in the world around you for which you would use a Chi-square analysis?

Answered 2 years ago by ajotatxe

HLT 362 WEEK 3 DQ Answers DQ1 Week 3 Explain when a z-test would be appropriate over a t-test. DQ2 Week 3 Researchers routinely choose an alpha level of for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., )? What are some situations in which you might accept a higher level (e.g., 0.1)? ANSWER Think about what the p value is saying: if it is less than , then there is less than one chance in twenty that a difference as large as the one observed would come about due to chance variability if the null hypothesis of no difference were...

Answered 2 years ago by solarc

HLT 362 v Exercise 11 Answers 1. What demographic variables were measured at least at the interval level of measurements? Number of hours working per week and Length of labor 2. What statistics were used to describe the length of labor in this study? Were these appropriate? Descriptive Yes, Frequency (30) and mean () are used to describe the data. 3. What other statistic could have been used to describe the length of labor? Provide a rationale for your answer. Length of labor was described for both the experimental and control groups using means () and standard deviations (). The exact...

Answered 2 years ago by solarc

HLT 362 WEEK 5 DISCUSSION Answers Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately? What is an example in the world around you for which you would use a Chi-square analysis? Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase. Answer: The conclusion cigarettes cause the pulse rate to...

Answered 2 years ago by solarc

Hlt 362- Excercise 27 Solutions 1. The independent variable for A, B, and C is postnatal age in hours. The dependent variables for A, B, and C are systolic blood pressure, diastolic blood pressure, and mean blood pressure respectively. The relationships between these variable is direct and positive in that as the independent variable of postnatal age increases the corresponding dependent variable increases. 2. The independent and dependent variables in Figure 3 are the same as in Figure 2, as well as the relationship between the variable. The difference is that figure 3 displays the...

Answered 2 years ago by solarc

Hlt 362 Exercise 16 1. The researchers analyzed the data they collected as though it were at what level of measurement? 2. What was the mean post-test empowerment score for the control group? The mean post-test empowerment score for the control group is (from Table 2). 3. Compare the mean baseline and posttest depression scores of the experimental group. Was this an expected finding? Provide a rationale for your answer. The baseline score mean is 14 and the post-test depression score mean is , meaning they were less depressed after completing the empowerment program. This is...

Answered 2 years ago by solarc

Hlt 362 Exercise 31 6. What is the smallest, significant t ratio listed in Table 2? Provide a rationale for your answer. t * the smallest t ratio listed in Table 2. It indicates that the cholesterol level change was statistically significant from pretest to 3 months. It is greater than the given value of p 7. Why are the larger t ratios more likely to be statistically significant? They are more likely to be significant because there is a large difference in the pre and post tested values, so these are the areas that will be affected most. Their p-values are also smaller. 8....

Answered 2 years ago by solarc

HLT 362 Module 5 Correlation/Regression and Chi Square Excel Worksheet SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES The following table represents systolic and diastolic blood pressure measurements of 40 females. A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements. B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure. C) What is the best predicted value for diastolic pressure given that a woman has a systolic level of 100?

Answered 2 years ago by jacob

HLT 362 Module 4 ANOVA Excel Worksheet SYSTOLIC BLOOD PRESSURE IN DIFFERENT AGE GROUPS The following table contains a random sample of 40 women partitioned into three groups: Group 1: ages below 20 Group 2: ages 20 through 40 Group 3: ages over 40 The values in the table are the systolic blood pressure levels The hypothesis test: H0:u1=u2=u3 H1: at least one of the treatment means is different Use the Excel Analysis ToolPak to create an Anova Single Factor table. Is there sufficient evidence to support the claim that women in the different age categories have different mean blood...

Answered 2 years ago by jacob

HLT 362 Module 2 Population and Sampling Distribution Excel Worksheet 1. For a normal distribution that has a mean of 100 and a standard deviation of 8. Determine the Z-score for each of the following X values: X = 108 X = 112 X = 98 X = 70 X = 124 Use the information in 1 A to determine the area or probability of the following: P(x > 108) P(x < 98) P(92 < x < 108) P(84 < x < 116) P(x < 84)

Answered 2 years ago by jacob

HLT-362V Week 2 Topic 2 DQ 2 Topic: Population and Sampling Distributions Explain each sampling technique discussed in the Visual Learner: Statistics in your own words, and give examples of when each technique would be appropriate.

Answered 2 years ago by professor22

HLT-362V Week 3 Benchmark - Hypothesis Testing Excel Worksheet Topic: Topic: Hypothesis Testing Answer each question completely to receive full credit There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug. 10 7 32 23 22 6 16 11 20 19 6 17 35 6 10 34 32 25 13 9 6 Let X be a random variable representing the remission time in weeks for all patients using the new drug. Assume that the distribution of x is normal. A previously used drug treatment has a mean remission time of 12.5...

Answered 2 years ago by professor22

DQ3-HLT 362 V Week 3-1 Explain when a z-test would be appropriate over a t-test. A Z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution. Because of the central limit theorem, many test statistics are approximately normally distributed for large samples. For each significance level, the Z-test has a single critical value (for example, for 5% two tailed) which makes it more convenient than the Student's t-test which has separate critical values for each sample size. Therefore, many statistical...

Answered 2 years ago by timogo99

**A+ Work! Use this as a guide to help you get a great grade! **EXERCISE 23 Questions to be Graded** 1\.What is the r value for the relationship between Hamstring strength index 60°/s and the Shuttle run test? Is this r value significant? Provide a rationale for your answer. 2\.Consider r = 1.00 and r = -1.00. Which r value is stronger? Provide a rationale for your answer. 3\.Describe the direction of the relationship between the Hamstring strength index 60°/s and the Shuttle run test. 4\.Without using numbers, describe the relationship between the Hamstring strength index...

Answered 2 years ago by lancer

**A+ Work! Use this as a guide to help you get a great grade! #EXERCISE 24 Questions to be Graded 1\.What is the r value listed for the relationship between variables 4 and 9? 2\.Describe the correlation r = -0.32** using words. Is this a statistically significant correlation? Provide a rationale for your answer. 3\.Calculate the percentage of variance explained for r = 0.53. Is this correlation clinically important? Provide a rationale for your answer. 4\.According to Table 2, r = 0.15 is listed as the correlation between which two items? Describe this relationship. What is...

Answered 2 years ago by lancer

12 Exercise 23 1. What is the r value for the relationship between Hamstring strength index 60% and the shuttle run test? Is this r value significant? Provide rationale. r, it is listed on Table 5 as the relationship between the two. It is not considered significant since p and the value is greater than . 2. Consider r and r. Which r value is stronger? Provide rationale Both are the strongest possible relationship, either negative or positive, so not one r is stronger than the other. 3. Describe the direction of the relationship between the Hamstring strength index 60% and the shuttle...

Answered 2 years ago by professor22

A+ TUTORIAL, 100% CORRECT Assignments Module 1 Descriptive Statistics Excel Worksheet A formula for the sample mean is A formula for the sample variance is A formula for the sample standard deviation is A computational formula for the sample variance is For the following sample of scores: 2, 6, 1, 4, 2, 2, 4, 3, 2 Find the mean, variance and standard deviation A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5. What is the value for the new sample mean? Using Excel create a histogram and a line graph using the scores in...

Asked 2 years ago by lancer

HLT 362 Module 1 Descriptive Statistics Excel Worksheet Module 1 Descriptive Statistics Excel Worksheet A formula for the sample mean is A formula for the sample variance is A formula for the sample standard deviation is A computational formula for the sample variance is For the following sample of scores: 2, 6, 1, 4, 2, 2, 4, 3, 2 Find the mean, variance and standard deviation A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5. What is the value for the new sample mean? Using Excel create a histogram and a line graph...

Asked 2 years ago by ninetynine

HLT 362 Module 1 Exercise 16 The researchers analyzed the data they collected as though it were at what level of measurement? (Your choices are: Nominal, Ordinal, Interval/ratio, or Experimental) What was the mean posttest empowerment score for the control group? Compare the mean baseline and posttest depression scores of the experimental group. Was this an expected finding? Provide a rationale for your answer. Compare the mean baseline and posttest depression scores of the control group. Do these scores strengthen or weaken the validity of the research results? Provide a rationale...

Asked 2 years ago by ninetynine

HLT 362 Module 2 Exercise 29 Were the groups in this study independent or dependent? Provide a rationale for your answer. t ??3.15 describes the difference between women and men for what variable in this study? Is this value significant? Provide a rationale for your answer. Is t ??1.99 significant? Provide a rationale for your answer. Discuss the meaning of this result in this study. Examine the t ratios in Table VI. Which t ratio indicates the largest difference between the males and females post MI in this study? Is this t ratio significant? Provide a rationale for your...

Asked 2 years ago by ninetynine

HLT 362 Module 2 Population and Sampling Distribution Module 2 Population and Sampling Distribution Excel Worksheet For a normal distribution that has a mean of 100 and a standard deviation of 8. Determine the Z-score for each of the following X values: X = 108 X = 112 X = 98 X = 70 X = 124 Use the information in 1 A to determine the area or probability of the following: P(x > 108) P(x

Asked 2 years ago by ninetynine

HLT 362 Module 3 Hypothesis Excel Worksheet Module 3 Hypothesis Excel Worksheet There were two independent groups of students who took a school course by different modes. The first sample of students took the course in the online mode and the second sample took the course in the conventional face-to-face mode. Using the sample data, determine if there is a significant difference in the scores between the two groups. SE[M1-M2] t-score Are the two sample means sufficient to conclude that the educational modes are significantly different? Give reasons for your decision.

Asked 2 years ago by ninetynine

HLT 362 Module 3 InteliBoard Assessment Module 3 InteliBoard Assessment The mean of the sampling distribution is equal to The standard error of the sampling distribution when we know the population standard deviation is equal to The standard error of the sampling distribution when we do not know the population standard deviation is equal to When the population standard deviation is known, the sampling distribution is a When the population standard deviation is not known, the sampling distribution is a If the size of the sample is increased the standard error Independent samples...

Asked 2 years ago by ninetynine

HLT 362 Module 4 Exercise 36 Module 4 Exercise 36 The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) ??9.619, p ??0.005. Discuss each aspect of these results. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in mobility scores over 12 weeks? Provide a...

Asked 2 years ago by ninetynine

HLT 362 Module 4 ANOVA Excel Worksheet SYSTOLIC BLOOD PRESSURE IN DIFFERENT AGE GROUPS The following table contains a random sample of 40 women partitioned into three groups: Group 1: ages below 20 Group 2: ages 20 through 40 Group 3: ages over 40 The values in the table are the systolic blood pressure levels The hypothesis test: H0:u1=u2=u3 H1: at least one of the treatment means is different Use the Excel Analysis ToolPak to create an Anova Single Factor table. Is there sufficient evidence to support the claim that women in the different age categories have different mean...

Asked 2 years ago by ninetynine

HLT 362 Module 5 Exercise 27 Module 5 Exercise 27 Simple Linear Regression What are the independent and dependent variables in Figures 2, A, B, and C? How would you describe the relationship between the variables in Figures 2, A, B, and C? What are the independent and dependent variables in Figures 3, A, B, and C? How would you describe the relationship between the variables in Figures 3, A, B, and C? Was there a significant difference in the y intercept for the lines of best fi t in Figure 2 from the y intercept for the lines of best fi t in Figure 3? Provide a rationale for your...

Asked 2 years ago by ninetynine

HLT 362 Module 5 Exercise 40 According to the Introduction, what categories were reported to be statistically significant? In Table 1, is the No. in household reported as statistically significant among the three groups (uninsured, Medicaid, and privately insured)? Provide a rationale for your answer. Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your answer. How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale for your answer. Does Marital Status or Education (of adults) have a greater statistically...

Asked 2 years ago by ninetynine

HLT 362 Module 5 Correlation Regression and Chi Square Exercise SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES The following table represents systolic and diastolic blood pressure measurements of 40 females. A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements. B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure. C) What is the best predicted value for diastolic pressure given that a woman has a systolic level of 100?

Asked 2 years ago by ninetynine

HLT 362 Week 1 DQs Discussion Questions How could graphics and/or statistics be used to misrepresent data? Where have you seen this done? What are the characteristics of a population for which a mean/median/mode would be appropriate? Inappropriate?

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HLT 362 Week 2 DQs Discussion Questions Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented? How large would your population have to be for a sample to be appropriate (i.e., rather than measuring the whole population)?

Asked 2 years ago by ninetynine

HLT 362 Week 3 DQs Discussion Questions Suppose you hear an old-timer say, Why, in my day, kids were much more respectful and didnt cause as much trouble as they do nowadays! Formulate a hypothesis related to this statement that you could test. How would you test it? Researchers routinely choose an ?-level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower ? -level (e.g. 0.01)? What are some situations in which you might accept a higher level (e.g. 0.1)?

Asked 2 years ago by ninetynine

HLT 362 Week 4 DQs Discussion Questions If the result of an ANOVA experiment was "not significant", was the experiment a failure? Provide reasoning and examples (real or hypothetical) to support your argument. What is an interaction? Describe an example; what are the variables within your population (work, social, academic, etc.) for which you might expect interactions?

Asked 2 years ago by ninetynine

HLT 362 Week 5 DQs Discussion Questions Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately? What is an example in the world around you for which you would use a Chi-square analysis? Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase.

Asked 2 years ago by ninetynine

DQ1 Week 3 Explain when a z-test would be appropriate over a t-test. DQ2 Week 3 Researchers routinely choose an alpha level of 0.05 for testing their hypotheses. What are some experiments for which you might want a lower alpha level (e.g., 0.01)? What are some situations in which you might accept a higher level (e.g., 0.1)?

Answered 2 years ago by lancer

Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately? What is an example in the world around you for which you would use a Chi-square analysis? Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to increase.

Answered 2 years ago by lancer

EXERCISE 36 Analysis of Variance (ANOVA) Name: _Esther Anderson, RN______________________________ 1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) , p . Discuss each aspect of these The F-value is high enough at the 5% ...

Answered 2 years ago by solarc

In comparing men and women, which group had higher body image scores Provide a rationale for your answer. Women had higher body image scores with a X_?? compared to men with a X_??. With this study, the higher the mean, the greater the body image scores. Thus, the higher mean for women's body image scores showed that women have stronger body image scores than men. 2. Men had higher variability in weight change over the last 12 months when compared to women. Is this statement true or false? Provide a rationale for your answer. True. SD indicates variability or spread of scores. Men had...

Answered 2 years ago by solarc

Solution to assignment 1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (, ), where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. Solution: We are given confidence interval (, ) Lower limit Upper limit 99% critical value z We know the formula for lower limit as given below: Lower limit sample mean critical value*standard error Sample mean * standard error .....................equation.1 We know the...

Answered 2 years ago by solarc

Answered 2 years ago by solarc

Answered 2 years ago by professor22

A+ Solutions HLT-362V Week 4 ANOVA Excel Worksheet Applied Statistics for Health Care Professionals - Analysis of Variance (ANOVA) 100% Correct Refer to the "Visual Learner: Statistics" for examples to help complete the problems in the attached worksheet. Also, to aide in the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided. Topic 4: ANOVA Excel Worksheet Directions: Answer all questions and submit to instructor at the end of Module 4 1.SYSTOLIC BLOOD PRESSURE IN...

Answered 2 years ago by a+tutor

Exercise 20 Which patient scored the highest on the preoperative CVLT Acquisition What was his or her T score? Patient number 3, with a T score of 63. 1. Which patient scored the lowest on postoperative CVLT retrieval? What was this patient's T score? Patient number 4, with a T score of 23. 2. Did the patient in question 2 have more of a memory performance decline than average on the CVLT retrieval? Provide rationale. Patient number four did have more of a memory performance decline than average. The T...

Answered 2 years ago by solarc

Exercise: 23 What is the r value for the relationship between Hamstring strength index 60s and the Shuttle run test? Is this r value significant? Provide a rationale for your answer The relationship between Hamstring strength index 60 degree/s and the Shuttle run test is a weak negative relationship due to r ? listed in Table 5 since r -0.3 per Pearson's Correlation Coefficient. The r value is not statistically significant since p . 2. Consider r and r . Which r value is stronger? Provide a rationale for your answer The r values of and both indicate the strongest possible...

Answered 2 years ago by solarc

1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F (1, 22) , p . Discuss each aspect of these results. The F value suggests there is a significant difference between the results of the control and treatment groups. The P-value of is the alpha of suggest that the groups are significantly different and the null hypothesis should be rejected. 2. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI...

Answered 2 years ago by solarc

Exercise 11 What demographic variables were included in this study?? Demographic Variables that were included in this study are AGE, INCOME, LENGTH OF LABOR, RETURN TO WORK, HOURS WORKING PER WEEK, RACE, MARTITAL STATUS, EDUCATION, TYPE OF FEEDING, AMOUNT OF HOUSEHOLD / INFANT CARE RESPONSIBILITIES. 1. Which of the demographic variables provided ordinal level data?? Ordinal level data was provided by the variables EDUCATION and AMOUNT OF HOUSEHOLD / INFANT CARE RESPONSIBILITIES because the data for these variables is sorted into categories that can be rank ordered. They are sorted from...

Answered 2 years ago by solarc

Which patient scored the highest on the preoperative CVLT Acquisition What was his or her T score? Patient 3 with a T score of 63 1. Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient\'s T score? Patient 4 with a T score of 23 2. Did the patient in Question 2 have more of a memory performance decline than average on the CVLT Retrieval? Provide a rationale for your answer. According to the case study the average drop in CVLT Retrieval was 9.6. Patient 4 had a drop of 44-23 21. This is more than twice the average. Hence patient 4 most definitely...

Answered 2 years ago by solarc

1. Identify the sampling technique being used. Every 20th patient that comes into the emergency room is given a satisfaction survey upon their discharge. a. random sampling b. cluster sampling c. systematic sampling d. stratified sampling e. none of the above 2. The formula for finding the sample mean is ______. 3. The formula for finding sample standard deviation is _______

Answered 2 years ago by Guide4Students

For a normal distribution that has a mean of 100 and a standard deviation of 8. Determine the Z-score for each of the following X values: X = 108 X = 112 X = 98 X = 70 X = 124 Use the information in 1 A to determine the area or probability of the following: P(x > 108) P(x

Answered 2 years ago by Guide4Students

Problem 1 1. There is a new drug that is used to treat leukemia. The following data represents the remission time in weeks for a random sample of 21 patients using the drug. Problem 2 2. We wish to test the claim that the mean body mass index (BMI) of men is equal to the mean BMI of women. Use the data to the right to test this claim.

Answered 2 years ago by Guide4Students

Worksheet Exercise # 20 a) Which patient Patient 3. b) What was T-score was 63. a) Which patient ... Patient 4. b) What was T-score was 23. a) Did the patient Yes, they did. b) Provide a rationale Average drop was 9.6. This patient had a drop from 44 to 23 which is a 21 point drop. X 45.9 SD 5.2 a) Is the preoperative It is above the mean T score. b) Provide a rationale Patient 5 score is 52 (mean is 47.8) X 47.8 SD 5.8 53.6 42 X 38.2 SD 9 38.2 9 47.2 38.2 9 29.2 a) Can the findings No they cannot because the population size...

Answered 2 years ago by Guide4Students

SYSTOLIC BLOOD PRESSURE IN DIFFERENT AGE GROUPS The following table contains a random sample of 40 women partitioned into three groups: Group 1: ages below 20 Group 2: ages 20 through 40 Group 3: ages over 40 The values in the table are the systolic blood pressure levels The hypothesis test: H0:u1=u2=u3 H1: at least one of the treatment means is different Use the Excel Analysis ToolPak to create an Anova – Single Factor table. Is there sufficient evidence to support the claim that women in the different age categories have different mean blood pressure levels? Give reasons for your decision.

Answered 2 years ago by Guide4Students

Name _____________ Tell what the # means (a d) and where the number comes from (b,c) a) a. F statistic from figure 2 this shows there is a significant difference between the results of the control and treatment groups. b) 1 a. Is the group df (the df are the variables that are free to vary same answer for c) c) 22 a. The error df d) a. This is the p value and it is less than the alpha of 0.5 which means the groups are different and the null hypothesis should be rejected. a) State the null There is no effect of GI with PRM treatment on women with OA mobility...

Answered 2 years ago by Guide4Students

SYSTOLIC AND DIASTOLIC BLOOD PRESSURE OF FEMALES The following table represents systolic and diastolic blood pressure measurements of 40 females. A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements. B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure. C) What is the best predicted value for diastolic pressure given that a woman has a systolic level of 100?

Answered 2 years ago by Guide4Students

Answered 2 years ago by Amanda76

Answered 2 years ago by Amanda76

HLT-362V Module 2: DQ2 Explain each sampling technique discussed in the "Visual Learner: Statistics" in your own words, and give examples of when each technique would be appropriate. In statistics, a sample is just what it sounds like except we are talking about a sample of a population. Just as we would sample a dessert taking a piece of the pie, a sample in statistics is a portion of the whole population. Just as this slice of pie may taste good leading you to believe that the rest of the pie is also good, a sample of a population represents the rest of the whole population. ...

Answered 2 years ago by forthoodian

HLT-362V Topic 2: Population and Sampling Distribution Excel Worksheet

Answered 2 years ago by forthoodian

Q. What problems/limitations could prevent a truly random sampling and how can they be prevented? Ans. Random sampling is sampling from a set of quantifiable characteristics, like household id, time area etc. with or without replacements using some form of random number generator. However we use pseudo-random generators, as any computer generated algorithm (Humans or computers cannot understand random) (George Marsagalia has designed one which requires a run of at least 21430 numbers, before a number would repeating itself) physical randomization devices such as ERINE etc., none of these...

Answered 2 years ago by professor22

A+ Solutions HLT-362V Week 4 Topic 4: DQ 2 Applied Statistics for Health Care Professionals - Analysis of Variance (ANOVA) What is an interaction? Describe an example and identify the variables within your population (work, social, academic, etc.) for which you might expect interactions?

Answered 2 years ago by professor22

Name: Class: HLT-362V Date: 09 October, 2016 EXERCISE 18 Questions to be Graded 1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (, ), where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. X SD Formula is X (SD) ( x ) ( x ) Answer: (, ) 2. Which of the following values from Table 1 tells us about variability of the scores in a distribution? a. b. c. d. 3. Assuming that the distribution for General Health Perceptions is normal, 95% of the females scores around the...

Answered 2 years ago by Ekam81

2\. The value of the z-score in a hypothesis test is influenced by a variety of factors. Assuming that all other variables are held constant, explain how the value of z is influenced by each of the following. a. Increasing the difference between the sample mean and the original population mean. b. Increasing the population standard deviation. c. Increasing the number of scores in the sample. 6\. A researcher is investigating the effectiveness of a new study-skills training program for elementary school children. A sample of n=25 third-grade children is selected to participate in the...

Answered 6 years ago by moduloP

1. Refer to Exhibit 2-1. How many individual scores are in the entire set? Exhibit 2-1 X f 5 1 4 1 3 4 2 2 1 2 A) N = 5 B) N = 6 C) N = 10 D) impossible to determine from the information given 2. What kind of frequency distribution graph is appropriate for scores measured on an interval or ratio scale? A) only a histogram B) only a polygon C) either a histogram or a polygon D) only a bar graph 3. What kind of frequency distribution graph shows the frequencies as bars that are separated by spaces? A) a bar graph B) a histogram C) a polygon D) All of the other...

Answered 4 years ago by moduloP

1. A z-score of z = -2.00 indicates a position in a distribution \____. A) above the mean by 2 points B) above the mean by a distance equal to 2 standard deviations C) below the mean by 2 points D) below the mean by a distance equal to 2 standard deviations 2. For a distribution of scores, which of the following z-score values represents the location closest to the mean? A) z = +0.50 B) z = +1.00 C) z = -1.00 D) z = -2.00 3. A z-score of z = +3.00 indicates a location that is \____. A) near the center of the distribution B) slightly above the mean C) far above the mean in...

Answered 5 years ago by moduloP

The null hypothesis \____. A) states that the treatment has no effect B) is denoted by the symbol H1 C) is always stated in terms of sample statistics D) All of the other choices are correct. 2. The numerator of the z-score test statistic measures \____. A) the average distance between M and m that would be expected if H0 was true B) the actual distance between M and m C) the position of the sample mean relative to the critical region D) whether or not there is a significant difference between M and m 3. The critical region for a hypothesis test consists of \____. A) outcomes...

Answered 6 years ago by moduloP

A test of significance can be based on a sample of convenience.   A utility company serves 50,000 households. As part of a survey of customer attitudes, they take a simple random sample of 800 of these households. The average number of television sets in the sample households turns out to be 2.56, and the SD is 0.73. What is the observed value for the average number of television sets per household?   A utility company serves 50,000 households. As part of a survey of customer attitudes, they take a simple random sample of 800 of these households. The average number of television sets...

Answered 5 years ago by moduloP

1. For an experiment comparing more than two treatment conditions you should use analysis of variance rather than separate t tests because \____. A) separate t tests would require substantially more computations B) a test based on variances is more sensitive than a test based on means C) conducting several t tests would inflate the risk of a Type I error D) There is no difference between the two tests, you can use either one.   2. The null hypothesis for an ANOVA states that \____. A) there are no differences between any of the population means B) at least one of the population...

Answered 5 years ago by moduloP

1. The Pearson correlation measures \____. A) the degree of relationship without regard to the form of the relationship B) the degree to which the relationship is consistently one directional C) the degree of linear relationship D) the degree of curvilinear relationship   2. A scatter plot shows a set of data points that are clustered close to a line that slopes down to the right. Which of the following values would be closest to the correlation for these data? A) 0.80 B) 0.40 C) 0.40 D) 0.80   3. The results from a research study indicate that adolescents who watch more...

Answered 7 years ago by moduloP

Define the terms parameter and statistics. Be sure that the concepts of population and sample are included in your definitions. Downs and Abwender (2002) found neurological deficits in soccer players who are routinely hit on the head with soccer balls compared to swimmers, who are also athletes but who are not regularly hit in the head. Is this an example of an experimental or non- experimental study? For the following scores, find the values of each expression: Use summation notation to express each of the following calculations: a) Add 1 point to each score, then add the...

Answered 4 years ago by moduloP

A distribution has a standard deviation of ?=12. Find the z-score for each of the following locations in the distribution. a.  Above the mean by 3 points b. Above the mean by 12 points. c.  Below the mean by 24 points d. Below the mean by 18 points. For a population with a mean of µ=100 and a standard deviation of ? =12, **a.** Find the z-score for each of the following X values.  X=106, X=115, X=130, X=91, X=88, X=64 **b.** Find the score (X value) that corresponds to each of the following z-scores. Z=-1.00, z =-0.50, z =2.00, z =0.75, z =1.50, z =-1.25 Find the z-score...

Answered 4 years ago by moduloP

Module 4 Chapter 13 #2 Describe the similarities between an F?ratio and a t statistic. #4 Explain why you should use ANOVA instead of several t tests to evaluate mean differences when an experiment consists of three or more treatment conditions. #6 The following data represent the results from an independent?measures study comparing three treatments. a. Compute SS for the set of 3 treatment means. (Use the three means as a set of n =3 scores and compute SS.) b. Using the result from part a, compute n(SSmeans). Note that this value is equal to SSbetween. c. Now, compute SSbetween...

Answered 7 years ago by moduloP

**2.** What information is provided by the numerical value of the Pearson correlation? **6.** For the following scores, _X   Y_ 3  12 6   7 3   9 5   7 3   10   **a.** Compute the Pearson correlation. **b.** With a small sample, a single point can have a large effect on the magnitude of the correlation. Change the score _X_ = 5 to _X_ = 0 and compute the Pearson correlation again. You should find that the change has a dramatic effect on the value of the correlation. **18.** Sketch a graph showing the line for the equation _Y = -_2_X_ + 4. On the same graph, show the...

Answered 5 years ago by moduloP