The probability of committing a type I error(rejecting the null
hypothesis when it is actually true) is called α (alpha) the other
name for this is the level of statistical significance.
The probability of making a type II error (failing to reject
the null hypothesis when it is actually false) is called β
(beta).
Sample size used is denoted by ,"n,"
As sample size increases, the type 1 error alpha
increases &vice versa
as sample size increases, the type 2 error beta
decreases ,& vice versa
As type 1 increases ,the type 2 error decreases &
vice veesa.