Answer:
decreases.
Step-by-step explanation:
Type II error is one in which we fail to reject the null hypothesis that is actually false. Null hypothesis is a statement that is to be tested against the alternative hypothesis and then decision is taken whether to accept or reject the null hypothesis. The power of Type II error is 1 -
. As the power increases the probability of Type II error decreases.
We can expand

Then using the product and chain rules,



a) (2/5) x 35 = 14 students received invitations
b) 35-14 = 21 students didn’t receive invitations
2 ways in solving this hope it helped
0,3 3,3 2,3 and 1,2 (from A to D)