We have learned hypothesis tests

1. for the mean (when population variance is known and when it is unknown)
2. for a percentage

Pick a scenario, such as giving a test in school, and then for each type give a brief example of how the scenario changes in order to run each type of test. You do not have to solve the problem you give. Try to come up with a problem on your own rather than using one we did or one you find online.

Example:

Students at Apple High School took their midterm. One teacher claims that her students did better than the known average score of 78. She would run a hypothesis test with null hypothesis mu = 78 and alternative hypothesis mu >78. Another teacher claims that a higher percent of his students passed the test than the known passing rate of 80%. He would do a hypothesis test with null hypothesis p = .8 and alternative hypothesis p > .8.