1. What would be the appropriate statistical procedure to test the following hypothesis: "Triglyceride values are a good predictor of weight in obese adults."
2. What is (are) the function(s) of parametric statistical procedures?
3. What is Type I Error?
4. What are the assumptions underlying the use of parametric, statistical procedures?
5. If a critical value is greater than the test statistic, would you accept or reject the null hypothesis?
6. Under what circumstance(s) is it appropriate to use a 2-tailed test of significance?
7. What is the appropriate statistical procedure to use when your interest is in detecting a bivariate, curvilinear association?
8. For a study comparing outcomes under alternate treatment conditions, when the null hypothesis is rejected, the researcher concludes that a difference among groups exists.
9. A researcher, for reasons passing understanding, wishes to assess the association between gender and total cholesterol values. What would be the appropriate statistical procedure?
10. An HIV educator wishes to determine whether the method of delivering teaching influences adherence with antiretroviral therapy. She decides to measure adherence as viral load (a ratio measure). She teaches one group using lecture-discussion techniques. She adapts the information for access on the internet and gives another group the information using this medium. For yet another group, she decides to give a CD Rom for home study and then meets with individuals to answer any questions. She obtains viral loads for all clients for comparison. What procedure will determine the significance of any differences?