Question
Hi all, I want to run a f-test on two samples to see if their variances are independent. Wikipedia says that the f test is sensitive to non normality of sample (. How can I check if my samples are normally distributed or not. I read some forums which said I can use kstest and lillietest. When can I use either? I get an answer h=0. Does that mean my data is normally distributed?
Expert Answer
Kshitij Singh
PhD Expert
Answered Aug 25, 2026
You cannot tell from only 2 samples whether they are normally distributed or not. If you have a larger sample set and you are only testing them in pairs, then you could use the larger sample set to test for a particular distribution.
For example: (simple q-q plot)
data= randn(100); %generate random normally distributed 100x100 matrix ref1= randn(100); %generate random normally distributed 100x100 matrix ref2= rand(100); %generate random uniformly distributed 100x100 matrix x=sort(data(:)); y1=sort(ref1(:)); y2=sort(ref2(:)); subplot(1,2,1); plot(x,y1); subplot(1,2,2); plot(x,y2);
The first plot should be a straight line (indicating that the data distribution matches the reference distribution. The second plot isn't a straight line, indicating that the distributions do not match.
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