In testing a proportion,which of the following statements is incorrect?
A)Using α = 0.05 rather than α = .01 would make it more likely that H0 will be rejected.
B)When the sample proportion is p = .02 and n = 150,it is safe to assume normality.
C)An 80 percent confidence interval is narrower than the 90 percent confidence interval,ceteris paribus.
D)The sample proportion may be assumed approximately normal if the sample is large enough.

Question

Quizplus · Accepted Answer

When the sample proportion is p=0.02 and n=150, it is not safe to assume normality. This is because the sample size is not large enough to satisfy the normality assumption required for testing a proportion. Typically, the sample size should be at least 10 successes and 10 failures.

In Testing a Proportion,which of the Following Statements Is Incorrect