If we were to use a fairly strict alpha, what happens to beta and why? (statistical analysis question)?

This is an inferential Data analysis question for my Research methods class in Exercise Sport Science.

If we were to use a fairly strict alpha, what happens to beta and why? (statistical analysis question)?
By a "strict" alpha, I assume that you mean that alpha is small. This will then make beta bigger. alpha and beta have an inverse relationship; if you lower alpha you raise beta, and if you raise alpha you lower beta.





alpha is a number that you can set; beta is not. If a type I error is worse than a type II error, then you should make alpha smaller. But if a type II error is worse, then you should make alpha larger.
Reply:I started to write explanations to you but i found a web site that will help you much better. The errors are explained here in detail and the applet shows them graphically.


http://www.intuitor.com/statistics/T1T2E...