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: Descriptive Statistics: TV Variable Gender N Mean StDev Minimum Q1 Median Q3 Maximum TV F 169 5.237 4.100 0.000 2.500 4.000 6.000 20.000 M 192 7.620 6.427 0.000 3.000 5.000 10.000 40.000 Click here for the dataset associated with this question.     (a) In the sample, which group watches more TV, on average? By how much? Enter the exact answer. Choose the answer from the menu in accordance to the question statement                                                                        watch more TV by Enter your answer in accordance to the question statement hours per week.       (b) Use the summary statistics to compute a 99% confidence interval for the difference in mean number of hours spent watching TV μf-μm, where μf represents the number of hours spent watching TV per week by all female students at this university and μm represents the number of hours spent watching TV per week by all male students at this university. Round your answers to two decimal places. The 99% confidence interval is

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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:

Descriptive Statistics: TV
Variable Gender N Mean StDev Minimum Q1 Median Q3 Maximum
TV F 169 5.237 4.100 0.000 2.500 4.000 6.000 20.000
M 192 7.620 6.427 0.000 3.000 5.000 10.000 40.000


Click here for the dataset associated with this question.
 
 

(a) In the sample, which group watches more TV, on average? By how much?

Enter the exact answer.

Choose the answer from the menu in accordance to the question statement                                                                        watch more TV by Enter your answer in accordance to the question statement hours per week.

 
 
 
(b) Use the summary statistics to compute a 99% confidence interval for the difference in mean number of hours spent watching TV μf-μm, where μf represents the number of hours spent watching TV per week by all female students at this university and μm represents the number of hours spent watching TV per week by all male students at this university.


Round your answers to two decimal places.

The 99% confidence interval is 

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