The assignment is formatted as follows: for eight of the nine questions, the format is identical to the DSA assignments for Module 10: You are provided with data, a brief description of them, and a null and one or more alternative hypotheses. Your task is to identify and implement statistical procedures that effectively evaluate the hypotheses given. The ninth question directs you to implement some resampling procedures specific to the two samples provided. For some questions, there may be a single test that addresses both null and alternative hypotheses. For others, separate tests may be needed. Avoid employing multiple tests per hypothesis whenever possible. If a single test is adequate, use only that. If you decide to use a resampling procedure, implementing that with a conventional test is valid and does not count as a separate test. Tests of distributional assumptions also do not count as separate tests. In keeping with the culture of R practice, use a minimum of code sufficient to address the hypothesis. As was the case for assignments this semester, if you alter the .csv files prior to calling them in the script, be sure to upload the altered file.
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