In SPSS, which is the difference between the Kolmogorov-Smirnoff test under

*Analyze->Descriptive Stats->Explore*and under

*Analyze->Non Parametric Tests->1 sample K-S*?

I always thought that the first one includes the Lilliefors correction and is more precise, but in principle the second one could be used to check normality too.

However, I have very simple dataset (here is the dataset) and I simply want to see if it's normal or not...

If I run the Kolmogorov-Smirnoff test under

*Analyze->Descriptive Stats->Explore*I obtain:

Therefore my dataset is not normal (i.e. it is significantly different from a normal distribution).

However, if I run Kolmogorov-Smirnoff under

*Analyze->Non Parametric Tests->1 sample K-S*I obtain:

Therefore my dataset is normal (i.e. it is not significantly different from a normal distribution).

So, which test should I trust? Just looking at the "numbers", can my dataset be considered normal or not?

Thank you in advance