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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

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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. Specify the null and alternative hypotheses. Choose the correct answer below. - X Contingency Table O A. Ho: Critic 1's ratings and Critic 2's ratings are associated Ha: Critic 1's ratings and Critic 2's ratings are not associated O B. Ho: Critic 1's thumbs-down ratings and Critic 2's thumbs-down ratings are not associated Critic 1's Rating Ha: Critic 1's thumbs-down ratings and Critic 2's thumbs-down ratings are associated Thumbs Mixed Thumbs Total down up C. Ho: Critic 1's ratings and Critic 2's ratings are not associated Thumbs 26 12 15 53 Ha: Critic 1's ratings and Critic 2's ratings are associated down Critic 2's Rating Mixed 6 12 13 31 O D. Ho: Critic 1's thumbs-down ratings and Critic 2's thumbs-up ratings are not associated Thumbs 10 7 59 76 He: Critic 1's thumbs-down ratings and Critic 2's thumbs-up ratings are associated up Total 42 31 87 160 Find the test statistic. x2 = 18.35 (Round to two decimal places as needed.) Print Done Help me solve this View an example Get more help - Media - Clear all Check answer MacBook Air

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