The dataset StudentSurvey has information from males and females on the number of hours spent watching television in a typical week. Computer output of descriptive statistics for the number of hours spent watching TV, broken down by gender, is given:

(a) In the sample, which group watches more TV, on average? By how much?
(b) Use the summary statistics to compute a 99% confidence interval for the difference in mean number of hours spent exercising. Be sure to define any parameters you are estimating.
(c) Compare the answer from part (c) to the confidence interval given in the following computer output for the same data:

(d) Interpret the confidence interval in context.

Transcribed Image Text:

Descriptive Statistics: TV StDev Variable Gender Mean TV 169 5.237 4.100 192 7.620 6.427 Q1 Median 4.000 Q3 Maximum Minimum 0.000 2.500 6.000 20.000 0.000 3.000 5.000 10.000 40.000 Two-sample T for TV Gender N Mean StDev SE Mean 169 0.32 5.24 7.62 4.10 192 6.43 0.46 Difference = mu (F) – mu (M) Estimate for difference: -2.383 99% Cl for difference: (-3.836, –0.930)