Critical Value of K-S Statistic at 90%, 95%, and 99% Significance Level
The critical value of K-S statistic at 90, 95, or 99 percent significance level are indicators of normal distributions.
For example, if a sample collected from a population has a normal frequency
distribution, the K-S statistic for that sample is less than the critical
value 90, 95, or 99 percent of the time. If the K-S statistic is larger
than the critical value, the hypothesis that the underlying population
is distributed normally with a mean of
and a standard deviation of s should be rejected.
See Also
95% and 99% Confidence Interval for the Mean
Kolmogorov-Smirnov Goodness of Fit Statistic for Normal Distribution