Hi all,
I have a dataset of 2000 numbers ( it's noise measured with a scoop )
Now i want to know of my data is normal distributed (Gaussian distribution).
I did already:
- 68-95-99.7 test
- Q-Q-plot
and now i used "nortest library" and the Lilli.test()
However i don't understad the output?
lillie.test(z)
Lilliefors (Kolmogorov-Smirnov) normality test
data: z
D = 0.0218, p-value = 0.0278
I read wiki, but still can understand it..
Can anyone, give an explanation of my output D and p-value?
Thanks in advance
Gr. Bosken
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