Workbook Exercises11 & 16 Grand Canyon University Complete Exercises 11 and 16 in Statistics for Health Care Research: A Practical Workbook‚ and submit as directed by the instructor (e.g.‚ as a Microsoft Word document in the LoudCloud classroom). 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.) Exercise 11 (4 points per question) 1. What demographic
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Sohal‚ S 04/05/11 (HLT-362 V) Applied Statistics for Healthcare Professionals Exercise 18 Q1. 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. Answer: Mean of weight relative to ideal = 5.48 and Standard Deviation (σ) = 22.93. Calculation: (x bar) 1.96(σ) 5.48± 1.96(22.93) 5.48 - 1.96(22.93)
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Name: Suma Pole Class: 362V (Work book Exercises 11 and 16) 06/12/15 Exercise 11: Using Statistics to Describe a Study sample. 1. What demographic variables were measured at the interval level of measurements? Age‚ Income‚ Length of labor‚ Return to work and number of hours working per week. 2. What statistics were used to describe the length of labor in this study? Mean and standard deviation were used to describe the length of labor. These were appropriate since mean and standard deviation can
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EXERCISE 36 6. Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide rationale for your answer. ANOVA cannot be used to test proposed relationships or predicted correlations between variables in a single group because it is designed to test for correlations and interactions amongst groups‚ i.e. in the test group of patients with OA you are testing the correlations between those who do not use GI and PMR and those that do. Although
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standard deviation were used to describe the length of labor. These were appropriate since mean and standard deviation can be calculated on an interval level of measurement. 3. Range could also be used to describe the length of labor since this statistic can be used on interval data with no natural zero point. 4. The distribution of scores was similar for the experimental and control groups for length of labor. The experimental group had a mean of 14.63 hours and the control group had a mean of
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Exercise 16 Questions to be graded 1. The researchers analyzed the data they collected as though it were at what level of measurement?- The correct answer is Interval/ratio. a. Nominal b. Ordinal c. Interval/ratio d. Experimental 2. What was the mean posttest empowerment score for the control group? - 97.12 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 Experimental group’s mean
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PEARSON’S PRODUCT-MOMENT CORRELATION COEFFICIENT ANSWERS TO EXERCISE 23 Question 1 The r value for the relationship between Hamstring strength index 60o and the Shuttle run test is -0.149. This r value shows a weak correlation between the two variables‚ as it is less than the 0.3 threshold for significance. Therefore‚ the r value is not significant. Question 2 Between r=1.00 and r=-1.00‚ there is no difference in terms of strength. Both values are on the extreme ends of the spectrum and signify
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EXERCISE 16 Questions to be Graded 1. The researchers analyzed the data they collected as though it were at what level of measurement? a. Nominal b. Ordinal c. Interval/ratio d. Experimental Answer: c. Interval/ratio 2. What was the mean posttest empowerment score for the control group? Answer: 97.12 3. Compare the mean baseline and posttest depression scores of the experimental group. Was this an expected finding? Provide a rationale for your answer. Answer: The
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1. Were the groups in this study independent or dependent? Provide a rationale for your answer. Independently due to the data being collected independently 2. 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. t = -3.15 describes mental health in this study. This is significant because mental health plays a big role in the outcome of MI patients. 3. Is t = −1.99 significant? Provide a
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when compared to the empowerment variable‚ it has the greater dispersion. 7. The mean (X) is a measure of central tendency of a distribution‚ while the SD is a measure of the dispersion or variability of its scores. Both X and SD are descriptive statistics. 8. The mean severity for renal disease for the research subjects was a score of 6.74 as shown by the relevant study results. The information also says the SD is 2.97‚ which tells the dispersion of the renal disease severity scores. There is
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