This activity uses your class dataset. Making the dubious assumption that this is a representative sample of University Park students, we are going to test the following hypotheses. A. Are students who identify as female less likely to use someone else's Netflix's password? [Hint: Use both samples are in one column in Minitab B. A recent online blog post stated that adults take between 11 to 29 minutes to get ready every morning. Does our sample provide evidence that the true average time to get ready in the morning is less than 29 minutes? C. According to a study in 2015, the average amount of Instagram followers is 150. Does our sample provide evidence that Stat 200 students have more followers than the average? D. Is there a difference in the proportion of students who identify as liberals based on their housing status (on campus vs off-campus)? (Hint: There are more than 2 distinct values in the 'political' column. You will have to first create a 2 way table in Minitab to get the proportions. (Stat > Tables Cross tabulation and chi-square, select 'living' for the rows and 'political' for the columns). From th table identify your two sample proportions (e.g. p = # of liberals/total on campus,p = # of liberals/total off campus.). Now perform the two proportion test using 'summarized data.' You+ill need to complete the table below for each of the hypotheses above. A Parameter of interest Standardized test statistic Which distribution should we use to calculate p- value? tor Z P-value Generic conclusion (reject, fail to reject) Which type of error is possible? Are the conclusions what you expected? B le D