There are 24 students enrolled in an introductory statistics class at a small university. As an in-class exercise the students were asked how many hours of television they watch each week. Their responses, broken down by gender, are summarized in the provided table. Assume that the students enrolled in the statistics class are representative of all students at the university. Male 3 1 12 12 0 4 10 4 5 5 2 10 10 Female 10 3 2 10 3 2 0 1 6 1 5 1. If the parameter of interest is the difference in means, where and are the mean number of hours spent watching television for males and females at this university, find a point estimate of the parameter based on the available data. Report your answer with two decimal places. 2. Describe how to use the data to construct a bootstrap distribution. What value should be recorded for each of the bootstrap samples? 3. Describe how you would estimate the standard error from the bootstrap distribution. 4. The standard error is estimated to be 1.511 (based on 5,000 bootstrap samples). Find a 95% confidence interval for the difference in the mean number of hours spent watching television for males and females at this university. Round the margin of error to two decimal places. 5. Interpret your 95% confidence interval in the context of this data situation. Male