As level of significance gets smaller,(from 95% CI to 90% CI), the critical value gets larger and it becomes more difficult to reject the null hypothesis which could lead to a type 2 error. Is my understanding write ! Thanks Least Favorite one !
As significance level gets smaller (from 5% to 2.5%), the CI will increase (from 95% to 97.5%). The critical value gets larger, and it becomes more difficult to reject the null hypothesis which can lead to a Type II Error. Slight tweaks to your statement.
t stat > critical val = REJECT null.
ymmt Wrote: ------------------------------------------------------- > As significance level gets smaller (from 5% to > 2.5%), the CI will increase (from 95% to 97.5%). > The critical value gets larger, and it becomes > more difficult to reject the null hypothesis which > can lead to a Type II Error. > > Slight tweaks to your statement. also add “… more difficult to reject null hypothesis when it is false which can lead to type II error” @daj224: what about 2 tailed test ?