Question

Elementary Statistics question

Answer 1

Well I am highschool and don't know too much about this however I do know you should identify the difference between Type I and Type II
A Type I error is the incorrect rejection of a true null hypothesis (AKA false positive), while a Type II error is incorrectly retaining a false null hypothesis (AKA false negative.).

Answer 2

C) \(H_a: p <0.24\)

Answer 3

D)

Answer 4

Can you explain how you got that?

Answer 5

The university would like to increase the rate of 0.24. That means the null hypothesis is \(H_0 >0.24\) which leads the \(H_a\) is on opposite way. That is \(H_a<0.24\)

Answer 6

Okay. Thank you!