How do you interpret a KSL or Kolmogorov-Smirnov-Lilliefors test?

Answer:

If the test result is significant (Lower than or equal to 0.05) = The data is not normally distributed...

If the test result is not significant (Higher than 0.05) = The data is normally distributed...

This synchronize with the Statistical Hypothesis Assumption (Ho and Ha)

Ho means "Nothing Happen" and Ha means "Something Happen" then for

KSL and Shapiro Wilk test of normality assumption also.... If the test result reject Ha and accept Ho means "NOTHING HAPPEN" to data or the data is normally distributed

but if the result reject Ho and accept Ha means "SOMETHING HAPPEN" to data or in this case the data is NOT normally distributed.

Dr.Tanarat Thiengkamol
(send2nude@gmail.com)

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