Students often incorrectly believe that inference for a population proportion ba
ID: 2979429 • Letter: S
Question
Students often incorrectly believe that inference for a population proportion based on the sample proportion is always valid if n > 30. They are confusing a general rule of thumb for the Central Limit Theorem which says that as the sample size, n, gets large becomes Normally distributed with a different rule for proportions. The correct rule for proportions is that we can create confidence intervals for p based on if A. np = 5 and n(1 - p) = 5. B. there are at least 15 successes and 15 failures. C. n is at least 10.Explanation / Answer
B. there are at least 15 successes and 15 failures. C. n