Part (A)

Give the questionnaire to a sample of people (people that you know or have easy access to) who are similar in some respect (for example: people of same age and socioeconomic characteristics, only men, only women, people that are employed, people that are unemployed, liberal art majors, math/science majors, people in the same profession, married men or women, single men or women, etc.) and compute the average happiness score in your sample.

Use the results from your sample to infer about the happiness state of all people of similar characteristics as the people in your sample. Are they as happy, happier, or less happy than average? Your analysis should include (1) a confidence interval for the mean happiness score in the sub-population from where you sample comes from, and (2) a complete test of hypothesis that supports your statement whether people in your sub-population are as happy, happier, or less happy than average.

PART (B)

Give the questionnaire to a second sample of people that are similar in some respect but belong to a different sub-population than the people in your sample in Part A. Compute the average happiness score in the second sample.

Use the results from the two samples to analyze and compare happiness levels of people in the two sub-populations that your samples come from. Are people in sub-population from Part A as happy, happier, or less happy than people in sub-population from Part B? Your analysis should include a complete test of hypothesis that supports your statement whether people in sub-population from Part A are as happy, happier, or less happy than people in sub-population from Part B.

PART C

Use the Wilcoxon Rank Sum Test to redo the analysis in Part B above, and use Excel to carry out all the necessary computations for the Wilcoxon Rank Sum Test.

Price: $17.0

Solution: The downloadable solution consists of 9 pages, 800 words and 25 charts.
Deliverable: Word Document