Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Person's Age Movie 18-23 yr 24-29 yr 30-35 yr Row Total Drama 10 17. Science Fiction 14 9 30 Comedy 9 12 29 Column Total 35 LA USE SALT (a) What is the level of significance? State the null and alternate hypotheses. Ho: Age and movie preference are independent. H1: Age and movie preference are independent. Ho: Age and movie preference are not independent. H1: Age and movie preference are independent. Ho: Age and movie preference are not independent. H1: Age and movie preference are not independent Ho: Age and movie preference are independent. H1: Age and movie preference are not independent. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.) Are all the expected frequencies greater than 5? Yes No What sampling distribution will you use? uniform binomial normal Student's t chi-square What are the degrees of freedom? c) Find or estimate the P-value of the sample test statistic. P-value > 0.100 0.050 a, we fail to reject the null hypothesis. Since the P-value > a, we reject the null hypothesis. Since the P-value s a, we reject the null hypothesis. Since the P-value S a, we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. At the 5% level of significance, there is sufficient evidence to conclude that age of young adult and movie preference are not independent. At the 5% level of significance, there is insufficient evidence to conclude that age of young adult and movie preference are not independent. MacBook Air SO 44 DII DD F3 F6 FO A F8 F 10 F11 F12 @ # $ o A 9