. An investigator wants to estimate caffeine consumption in high school students. How many students would be required to estimate the proportion of

. An investigator wants to estimate caffeine consumption in high school students.  How many students would be required to estimate the proportion of students who consume coffee?  Suppose we want the estimate to be within 5% of the true proportion with 95% confidence.

                        Alpha = .

                                  Z=

                                   p=

                  Effect Size =

                                   n=

3. A crossover trial is planned to evaluate the impact of an educational intervention program to reduce alcohol consumption in patients determined to be at risk for alcohol problems.  The plan is to measure alcohol consumption (the number of drinks on a typical drinking day) before the intervention and then again after participants complete the educational intervention program.  How many participants would be required to ensure that a 95% confidence interval for the mean difference in the number of drinks is within 2 drinks of the true mean difference?  Assume that the standard deviation of the difference in the mean number of drinks is 6.7 drinks.

                   Z= ________

                    s= ________

  Effect Size = ________

                   n= ________