In a statistics class at a university, students were asked how many hours of television they watch per week. The results, broken down by gender, are shown in the table below.

Male: 3 | 1 | 12 | 12 | 0 | 4 | 5 | 5 | 2 | 10 | 10 | x=6

Female: 10 | 3 | 2 | 10 | 3 | 2 | 0 | 1 | 6 | 1 | 5 | x=4

Assume that these students are representative of all students at the university. Use StatKey and the provided data to test if this data provides evidence male students watch more television (on average) than female students at this university. Provide StatKey printouts.

Define the appropriate parameter(s) and state the null and alternative hypotheses. Form a randomization distribution using 100 samples to test these hypotheses. Use the distribution to estimate the p-value for this sample. Use your p-value to make a decision about these hypotheses. Be sure to word your decision in the context of your problem. Assess the strength of the evidence.