Hi,
Check in Library (go to Help and write for instance Significance level) how to run tests and conclude if the hypothesis is rejected or not. All that follows is from that:
BlockRandom[SeedRandom[1];
data = RandomVariate[StudentTDistribution[5], 100]];
DistributionFitTest[data,
NormalDistribution[\[Mu], \[Sigma]], "ShortTestConclusion",
SignificanceLevel -> 0.1]
Out[2]= "Reject"
In[3]:= DistributionFitTest[data,
NormalDistribution[\[Mu], \[Sigma]], "ShortTestConclusion",
SignificanceLevel -> 0.05]
Out[3]= "Do not reject"
By default, 0.05 is used:
In[4]:= DistributionFitTest[data, NormalDistribution[\[Mu], \[Sigma]],
"TestConclusion", SignificanceLevel -> Automatic] // TraditionalForm
Out[4]//TraditionalForm= The null hypothesis that the data is distributed according to the NormalDistribution[\[Mu],\[Sigma]] is not rejected at the 5. percent level based on the Cramér-von Mises test.