What interference we can get from kurtosis and skewness values for normal distribution?
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Step-by-step explanation:
The rule of thumb I use is to compare the value for skewness to +/- 1.0. You do not divide by the standard error.
A different rule of thumb divides skewness by standard error of skewness and compares the result to 2 (approximately 1.96 for z at p=.05. If the result is greater than +/- 2.0, the variable has a skewness problem.
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