1. Test the hypothesis than men have a higher true average total cholesterol level than women at the = 0.15 level.
2. Provide and interpret a 99% confidence interval for the true difference in proportion of men who have type A blood versus women who have type A blood (hint: you'll need to have just two columns in your table; use the xtabs function to find the data, then add the non-A blood types together and make your own table for analysis).
3. Test the hypothesis that the true average age of a married person is greater than that of a single person at the = 0.07 level
4. Provide and interpret a 93% confidence interval for the true difference in average systolic blood pressure for those with type B blood, and those with type O blood.
5. Test the hypothesis that the true proportion of men who are divorced is greater than that of women = 0.05 level (utilize the same hint in #2 to create your own table).