A local college newsletter reported that the average American college student spends one hour (60 minutes) on a social m

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A Local College Newsletter Reported That The Average American College Student Spends One Hour 60 Minutes On A Social M 1 (59.28 KiB) Viewed 34 times

A local college newsletter reported that the average American college student spends one hour (60 minutes) on a social media website daily. But you wonder if there is a difference between males and females. Attached below is a sample of 60 users of the website (30 males and 30 females) and their recorded daily time spent on the website. Complete (a) and (b) below. Click the icon to view the sample times a. Assuming that the variances in the population of times spent on the website per day are equal, is there evidence of a difference in the mean time spent on the website per day between males and females? (Use a 0.05 level of significance.) Let Hy be the mean daily time spent on the website for male college students and Hy be the mean daily time spent on the website for female college students. Determine the hypotheses. Choose the correct answer below. O A. Ho: P1 = H2 H:11*12 OB. Ho H1 H2 H:11 > 2 OD. Ho: M*H2 HP1 = 2 OC. Ho: H12H2 H: H1 H2 Determine the test statistic. ISTAT (Round to two decimal places as needed.) Find the p-value p-value = (Round to three decimal places as needed.) Choose the correct conclusion below. O A. Reject Ho. There is insufficient evidence that the means differ. O B. Do not reject Ho. There is sufficient evidence that the means differ. O C. Reject Ho. There is sufficient evidence that the means differ. OD. Do not reject H. There is insufficient evidence that the means differ. b. In addition to equal variances, what other assumption is necessary in (a)? O A. In addition to equal variances, it must be assumed that the samples are specifically chosen and not independently sampled. OB. In addition to equal variances, it must be assumed that the sample means are equal. O C. In addition to equal variances, no other assumptions must be made because the sample sizes are large enough (230 for each sample) OD. In addition to equal variances, it must be assumed that the population sizes are equal.