# Tag Info

Accepted

### Can I use p-values without hypothesis?

You can't even calculate p values without a null hypothesis, because this is a crucial ingredient that goes into all tests, along with data and a model specification. For instance, for a t test for a ...
• 118k

### Can I use p-values without hypothesis?

Why do you even want a p value when you don't have a hypothesis? But, in short, the answer is "no". I mean, you can't stop the computer from outputting a p value, but, every p value has an ...
• 110k

### $p$-value: Fisherian vs. contemporary frequentist definitions

@ShawnHemelstrand's answer contains much of what is needed to get to an understanding of these issues, but there is something that I can add that will help, particularly with issues like those raised ...
• 13.9k

### $p$-value: Fisherian vs. contemporary frequentist definitions

Extremity is defined in terms of the density of the test statistic First, $F$ tests and $\chi^2$ tests are typically rejected only for large values of the test statistic. Clearly, in Fisherian ...
• 71.9k

### Permutation test for exponential null hypothesis: really bad?

Edit: This answer doesn't deal with the actual meat of the question, which was about permutation tests. I will either fix it or delete it. The likelihood ratio test looks pretty good to me and ...
• 278k

### $p$-value: Fisherian vs. contemporary frequentist definitions

Technically there is no contradiction. If you for example look at the one- or two-sided t-test for the $H_0$ of a mean being zero, the two-sided test will measure what's "more extreme" by ...
• 21.2k

### $p$-value: Fisherian vs. contemporary frequentist definitions

Shawn that is a wonderful answer but it’s important to point out a subtle problem with a small part of it. The “in the long run we should not often be wrong” statement of Neyman and Pearson is an ...
• 86.9k