If a Kolmogorov-Smirnov test is conducted and the result is significant, what does this mean for the data sample?
A) The data sample is normally distributed.
B) The comparison used in the test is not valid.
C) The data sample is not normally distributed.
D) The test is wrong.

Question

Quizplus · Accepted Answer

If the Kolmogorov-Smirnov test results are significant, it indicates that the data sample is not normally distributed. Normality assumption is one of the underlying assumptions of many statistical tests such as t-test, ANOVA etc. Violation of the normality assumption can affect the reliability of the test results. Therefore, it is important to check the normality assumption before applying some statistical tests.

If a Kolmogorov-Smirnov Test Is Conducted and the Result Is