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I > **1.** Consider the two proportions, the population proportions of Comedy and Drama movies that won the Academy Award for Best Picture. In Try

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I > **1.** Consider the two proportions, the population proportions of Comedy and Drama movies that won the Academy Award for Best Picture. In Try It 6, we ran a hypothesis test to assess if there is a difference in these two population proportions. We would not, however, have been able to create the confidence interval to estimate the difference between these two population proportions because the sample size requirements would not have been met. We only observed 8 winners (successes) for the comedy genre. Why were we able to run the hypothesis test, but not create a confidence interval for these two proportions? Think about how we check the sample sizes for a hypothesis test involving a difference in two population proportions. Hint: one of the values in the output of Try It 6 should help you out! *Answer:* Replace this text with your answer. > **2.** In Try It 6, the p-value was found to be 0.2994. Why is the following statement inappropriate? *"With a pvalue of 0.2994, there is a 29.94% chance that the null hypothesis is true (the null hypothesis that the population proportion of Comedy movies that won the Academy Award for Best Picture is the same as the population proportion of Drama movies that won the Academy Award For Best Picture)."* *Answer:* Replace this text with your answer. Hal

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