HIGHLIGHTS
SUMMARY
There is a great emphasis on the idea that statistical analyses should come with a "quality guarantee," e_g, if a study produces a 95% confidence interval, then the authors want to be sure the error is at most 5% (ideally less than 5%) and this result should be trusted, reproducible for future studies, and more easily understood by the public. The sample size (more precisely, the effective sample size) matters for the reliability of the p-value, as the populations underlying the studies, especially for social and medical studies, are often heterogeneous. Studies with . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.