In testing a proportion, which of the following statements is incorrect? A)Using α = .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.

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Quizplus · Accepted Answer

When the sample proportion is p = .02 and n = 150, the assumption of normality is not safe because np = (150)(.02) = 3, which is less than 10. Therefore, the sample size is too small for the normal approximation to be valid.

In Testing a Proportion, Which of the Following Statements Is