Instructions In this assignment, you will define the steps needed to evaluate the continuous response and continuous explanatory variable research question and perform the appropriate hypothesis test with SPSS. Make sure you explicitly show all five steps and consider any necessary assumptions that were discussed in the lecture. These steps are: Define the parameter of interest, State the hypotheses, Determine the test statistic and p-value considering any necessary assumptions, Decide whether to reject or not reject the null hypothesis, Clearly state a conclusion in the context of the problem. Now apply these steps and submit your results. Follow the example below as a guide. Example Suppose we have collected data from 50 subjects on the average number of hours slept per night and the average number of days per week of 20+ minutes of moderate exercise. We are interested in seeing if there is any relationship between hours slept and number of exercise days. The 5 steps would be as follows: Parameter of interest: Population correlation between the average number of hours slept per night and the number of days the subjects participated in 20+ minutes of moderate exercise. (Note: population correlation is the appropriate parameter of interest as our two variables are continuous) Hypothesis : H0: ? = 0; HA: ? not = 0 Test statistic: I may not get a test statistic with SPSS, but it can be calculated to be 2.02 for this data. The p-value is 0.048 and I have 48 degrees of freedom. I should check my scatter plot to test if it looks roughly linear as that is an assumption, and if it does not note that here. Decision: Since the p-value is less than my alpha level of .05, I reject the null hypothesis of no correlation. Conclusion: I conclude that the correlation is significantly different (and larger) than 0. In the context of my research question, there is a moderately weak but statistically significant correlation between average hours slept and days per week of moderate exercise. Your document should be approximately 1-2 pages in length. Clearly separate out each step of the testing process using headings, or numbering as modeled in the example provided. If you use references, use of current APA formatting is required. Any tables and graphs must be clearly labeled. Research question: age and diabetes
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