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Alfred McStatti <- Change this to your name!!!! Part I. Methodology For my question I chose the one about watching TV because I love everything on TV, and I always have wondered since I was a little boy whether gender has an effect on TV watching. Question #21: How many minutes of TV do you watch each week? I worked with Doug Statman to ensure we did everything right, but we picked different questions for our individual reports. Part II. Create a confidence interval Let µ be the mean number of minutes of TV per week watched among all SU students. From the data I collected, I have a sample mean of x-bar = 81.7 minutes, sample standard deviation of s = 63.7 minutes, and a sample size of 250. The resulting TInterval command tells me that the 95% confidence interval for µ is (73.8, 89.6). That is, we can be 95% confident that the average number of minutes of TV per week watched among all SU students is between 73.8 minutes and 89.6 minutes. Part III. Create summary table separated by gender Summary statistics for TV watching (minutes) grouped by sex Sex Female Male n 142 108 Mean 82.12 83.09 Std. dev. 72.154 54.579 Median 60.0 67.5 Min 0 0 Max 360 300 Q1 30 60 Part IV. Create Side-by-Side Boxplots We can visualize the five number summary from the table above thanks to the good folks who created the website, http://www.imathas.com/stattools/boxplot.html Q3 120 120 Part V. Find a confidence interval for the difference in means by gender Let µ1 be the average number of minutes of TV per week watched among all male SU students, and let µ 2 be the average number of minutes of TV per week watched among all female SU students. We can estimate the value of µ 1 ā µ 2 using a calculator: Calculator Input (for 2-SampTInterval) X1-bar: Sx1: n1: X2-bar: Sx2: N2: Pooled: 83.1 54.6 108 82.1 72.2 142 No Result and Conclusion Iām 95% confident that the true value of the difference µ 1 ā µ 2 is between ā14.76 and 16.76 minutes. Since this interval includes both positive and negative numbers, we do not have sufficient evidence to conclude that men and women differ in the average amount of time they watch television.