Author Question: Two movie reviewers give movies "thumbs up" and "thumbs down" ratings. You sample 100 movies that ... (Read 191 times)

tnt_battle · **on:** Apr 14, 2020

Two movie reviewers give movies "thumbs up" and "thumbs down" ratings. You sample 100 movies that they both have rated and find that they both gave "thumbs up" to 25 movies, both gave "thumbs down" to 30 movies, Sarah gave "thumbs up" and Jessica "thumb down" to 28 movies, and the remaining movies Sarah gave "thumbs down" and Jessica "thumbs up". Test whether there is a tendency for one reviewer to give more movies "thumbs up" (proportion 1) than the other (proportion 2).
◦ z = −1.56; For a two-sided test at  = 0.05 level, there is insufficient evidence to reject the null
hypothesis because the cutoff z-value is at 1.96.
◦ z = 1.96 There is sufficient evidence to accept the null hypothesis.
◦ z = 1.56; For a two-sided test at  = 0.05 level, there is insufficient evidence to reject the null hypothesis because the cutoff z-value is at 1.96.
◦ z = −1.96 There is sufficient evidence to reject the null hypothesis.

emilymalinowski12 · **Reply #1 on:** Apr 14, 2020

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