If a test of hypothesis has a type i error probability of .05, it means that if the null hypothesis is true,
(a) you don't reject it 5% of the time if the null hypothesis is true
(b) you reject if 5% of the time if the null hypothesis is false
(c) you don't reject it 5% of the time if the null hypothesis is false
(d) you reject it 5% of the time

(D) you reject it 5% of the time

Step-by-step explanation:

Given : A test of hypothesis has a Type I error probability of 0.05

Which can be written as 5%.

It means that if null hypothesis is true, you reject it 5% of the time.

false

step-by-step explanation:

4y - 6 + 4y^2 - 9

before simplifying this contains 4 terms

after simplifying

4y -15 + 4y^2

it contains 3 terms

easy math just plug in a and b

step-by-step explanation: