The Emotional Well-Being data set is based on a fictional study in which a researcher was interested in determining if a vegetarian diet was a beneficial to the well-being of people living in Alaska, as was found in other research locations where sun exposure was greater. Based on previous publications, the researcher selected the Short Form Health Survey (SF-36) as the instrument for measuring the efficacy of the different dietary treatments. The current data set recruited a fairly large number of participants (n=72) to answer this question. Instructions For this assignment: 1. Create two smaller samples (n=10 and n=5) from the original Emotional Well-Being population data set using SPSS’s Stratified Random Sampling tool. 2. Perform a descriptive analysis of the key variables in each of these new data sets (variables: Baseline SF-36 Well-Being Score, Post-Tx Well-Being Score, BMI, Age) and compare your results to the original, larger data set’s descriptive analysis results. Report your findings. 3. Use resources to help you explain your results in terms of differences in sampling error, sample representativeness, descriptive statistical estimates with related confidence interval, and power. 4. Speculate as to what would have happened were the sample size smaller. 5. Describe one or two of the challenges you found while performing these exercises and how you resolved the issues.
