Hot answers tagged fisher
3
i) First, a recommendation:
Use pchisq( -2*sum(log(p-values)), df, lower.tail=FALSE) instead of 1- ... - you're likely to end up with more accuracy for small p-values. To see that they're sometimes going to give different results, try this:
x=70;c(1-pchisq(x,1),pchisq(x,1,lower.tail=FALSE))
ii) Yes, it's one-sided. Small values of the chi-square ...
2
If the null hypothesis is true then the p-values of a test should follow a continuous standard uniform distribution.
Think of it this way: Say we a priori decided a significance level of .05 (5%). That would mean that if we were to repeat our experiment many times and our null hypothesis is true we want to (incorrectly) reject our true null hypothesis in ...
Only top voted, non community-wiki answers of a minimum length are eligible
