Question 7 1 pts Many statistical inferences about sample proportions rely on a normal approximation of the sampling distribution of proportions, but it is not always wise to rely on this approximation. Instead, we should rst make sure that the success-failure condition is met. You have been introduced to several variants of the "success-failure condition" that are appropriate for different kinds of inference about sample proportions. Match each of the following success-failure conditions with the kind of statistical inference it goes with: A. mru Z 10 and n(1 7m) 2 10 B.n'p 2 land n(1 'p) 2 10 C. nlpmoged 2 10 and n1(1 Wed) 2 10 and ugppoded Z 10 and n2(1 Med) 2 10 A" l [ Choose ] v l B' l [ Choose ] v l C" | [ Choose ] v' A goodnessoft test for one proportion A test for independence between two indicator variables A condence interval for the difference between two proportions A confidence interval for one proportion Question 8