Most Common Mistake In Statistical Inference

[W. D. Allen Sr.]

A common mistake made in statistical inference is to assume every data set
is normally distributed. This seems to be the rule rather than the
exception, even among professional statisticians.

Either the Chi Square or S-K test, as appropriate, should be conducted to
determine normality before interpreting population percentages using
standard deviations.

WDA

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