1 Explain how increasing a does or doesnt change the chances

1. Explain how increasing a does (or doesn’t) change the chances of a Type I error (with n held fixed).

2. Explain how increasing a does (or doesn’t) change the chances of a Type II error (with n held fixed).

3. Explain how increasing b does (or doesn’t) change the chances of a Type I error (with n held fixed).

4. Explain how increasing b does (or doesn’t) change the chances of a Type II error (with n held fixed).

5. Explain how increasing n does (or doesn’t) change the chances of a Type I error.

6. Explain how increasing n does (or doesn’t) change the chances of a Type II error.

Give me answer shortly.

type I error occurs when accepting H1 when Ho is true

so X<a , Ho is rejected so As a value increases X<a doen not alter Hence Ho is rejected ie., Ho is false

So there is no change in chance of type 1 error.

type II error occurs failure to reject Ho when H1 is true

As mentioned above though a increases it satisfies the condition X<a so Ho is rejected

So there in no change in chance of type II error

X>b Ho is rejected

So when b increases it doesnot satisfies the condition X>b

so Ho is not rejected So there is a change in chance of both type I and type II errors

As sample size n increases both Type I error and type II error reduces.