Hi all,
I have a question regarding normality testing with the nortest
package. I have to admit, my question is so general that it might more be
suited a newsgroup such as sci.math. However, just in case it is
implemented differently, I was hoping someone who has used it can help me
out.
I just want to double check that for all of the tests, the null
hypothesis is whether or not the input distribution *differs* with the
normal distribution. So, if you get a p-value less than (say) 0.05, you
can reject the null hypothesis at a 95% confidence level and say that the
input distribution is *not* normal.
So these tests check/confirm whether a distribution is not
normal...as opposed to confirming that it is normal. Does this sound
about right?
Ray
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