Kolmogorov Smirnov Vs Shapiro Wilk Sample Size. If the p value is 0 05 then you can reject the null hypothesis that the data is not. The shapiro wilk test is a test of normality in frequentist statistics.
If the p value is 0 05 then you can reject the null hypothesis that the data is not. Results show that shapiro wilk test is the most powerful normality test followed by anderson darling test lilliefors test and kolmogorov smirnov test. If the sample size is larger than 50 we use the kolmogorov smirnov test.
If the p value is 0 05 then you can reject the null hypothesis that the data is not.
How exactly w the test statistic for shapiro wilk is calculated is a bit involved but conceptually it involves arraying the sample values by size and measuring fit against expected means variances and covariances. These multiple comparisons against normality as i understand it give the test more power than the the kolmogorov smirnov test. Hi govinda yes given that your sample size is 300 the kolmogorov smirnov test would be most appropriate. If the sample size is sufficiently large this test may detect even trivial departures from the null hypothesis.
