Question

According to the Community College Research Center at the Teachers College of Columbia University in New York, 32% of community college students work full-time (full-time defined to be a person working 35 or more hours per week). Bryanna believes that this percentage may be higher among CBC students, so she decides to take a survey of CBC students to determine if her hypothesis is correct or not. Correctly identify a Type II error in Bryanna's study.

Bryanna will commit a Type II error if she concludes the true proportion of CBC students working full time is less than 32%, when in fact the true proportion of CBC students working full time is equal to 32%.

The bolded words are the answers that I put in, and I got both wrong. Could it be that I got the answers switched or something? Not understanding how to identify a Type I error from a Type II error.

The answers that one can choose from are: greater than, less than, greater, less, equal to.

Answer 1

Ho:p≤0.32

Ha:p>0.32

type II error is accepting Ho when in actual alternate hypothesis is true.

Bryanna will commit a Type II error if she concludes the true proportion of CBC students working full time is less than equal to 32%, when in fact the true proportion of CBC students working full time is greater than 32%.

------------------------------------------------------

type I error is rejecting Ho or accepting Ha, when in actual Ho is true.

------------------

please revert for doubts.