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I wanna test the distribution of a sample, I have tried several test like kstest. But I always got the result of p-value=0. Why?
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If p values are uniformly distributed under the H0 that means that it is as likely to see a p-value of .05 as a p-value of .80, but this is not true, as it is less likely to observe a p-value of .05 than a p-value of .80, because that is precisely the definition of the normal distribution from which the p-value are taken.
Upon conducting a hypothesis test for a mean, the auditor gets a p-value of 0.000. Since the p-value of 0.000 is less than the significance level of 0.05, the auditor rejects the null hypothesis and concludes that there is sufficient evidence to say that the true average weight of a tire is not 200 pounds.
A p-value simply tells you the strength of evidence in support of a null hypothesis. If the p-value is less than the significance level, we reject the null hypothesis. So, when you get a p-value of 0.000, you should compare it to the significance level.
If the p-value is less than the significance level, we reject the null hypothesis. So, when you get a p-value of 0.000, you should compare it to the significance level. Common significance levels include 0.1, 0.05, and 0.01.
When you perform a statistical test, you have two hypothesis:
A small p-value indicates that the observations are inconsistent with the Null hypothesis. The typical pharse used is, "we reject the null hypothesis". That means that your data doesn't seem to be normal.
A few other pointers.
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