Consider two movie critics that reviewed the week's new movie releases and then rated them thumbs up (positive), mixed, or thumbs down (negative). These two critics often saw the merits of a movie differently. In general, however, were their ratings associated? The following contingency table summarizes the ratings for 160 movies. At the 1% significance level, using the critical value approach, do the data provide sufficient evidence to conclude that an association exists between the ratings of the two critics? Click here to view the contingency table. Click here to view the chi-square table. - X Contingency Table A Specify the null and alternative hypotheses. Choose the correct answer below. Critic 1's Rating D A. Ho: Critic 1's ratings and Critic 2's ratings are not associated Thumbs Mixed Thumbs Total Ha: Critic 1's ratings and Critic 2's ratings are associated down up Thumbs O B. Ho: Critic 1's ratings and Critic 2's ratings are associated 23 9 15 47 down Ha Critic 1's ratings and Critic 2's ratings are not associated Critic 2's Rating Mixed 7 13 9 29 O C. Ho: Critic 1's thumbs-down ratings and Critic 2's thumbs-up ratings are not associated Thumbs 10 g 65 84 He: Critic 1's thumbs-down ratings and Critic 2's thumbs-up ratings are associated up Total 40 31 89 160 O D. He: Critic 1's thumbs-down ratings and Critic 2's thumbs-down ratings are not associated He: Critic 1's thumbs-down ratings and Critic 2's thumbs-down ratings are associated Find the test statistic. Print Done * =(Round to two decimal places as needed.) Help me solve this View an example Get more help - Media - Clear all Check answer MacBook Air