Hello there.
I am testing my data distribution for normality using both Shapiro Wilk and Kolmogorov and Smirnov tests in SPSS.
S&W reveals that the data is not normally distributed whereas K&S shows its approximately normally distributed.
How can i justify the use of K&S over S&W in order to proceed with parametric tests?
My n=24
I am testing my data distribution for normality using both Shapiro Wilk and Kolmogorov and Smirnov tests in SPSS.
S&W reveals that the data is not normally distributed whereas K&S shows its approximately normally distributed.
How can i justify the use of K&S over S&W in order to proceed with parametric tests?
My n=24