Should you use significance tests of skew and kurtosis in large samples?
A)No, because they are likely to be significant even when skew and kurtosis are not too different from normal.
B)No, because they are likely to be non-significant even when skew and kurtosis are significantly different from normal.
C)Yes, because large samples produce more accurate results.
D)Yes, because large samples add power to the test.

Question

Quizplus · Accepted Answer

In large samples, significance tests for skew and kurtosis can become overly sensitive, often indicating significant deviations from normality even when these deviations are minor and practically insignificant. This is because as sample size increases, the power of these tests also increases, making them more likely to detect small, perhaps irrelevant differences.

Should You Use Significance Tests of Skew and Kurtosis in Large