Many statistical inferences about population proportions rely on a normal approximation of the sampling distribution of sample proportions, but it is not always wise to rely on this approximation. Instead, we should first 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 population proportions. Match each of the following success-failure conditions with the kind of statistical inference it goes with: A. nTO _ 10 and n(1 - 70) 2 10 B. np 2 10 and n(1 - p) 2 10