Question

A school counselor has been working with a group of six-graders with special needs. She hypothesized that students like her group may have higher depression scores compared to the national average for six-graders. So she assessed her group of students with a depression scale for children and compared the scores to the national average through a t test. The t statistic turned out to be .20. Using a significance level of .01, what decision should she make regarding the null hypothesis?

A.Postpone any decisions until a more conclusive study could be conducted

B.There is not enough information given to make a decision

C.Reject it

D.Fail to reject it

Answer 1

Solution:

Given the information about the t test for the population mean.

Claim by a school counselor is  " students like her group may have higher depression scores compared to the national average for six-graders".

See the word "higher".

So, the claim is " is higher than the national average "

i.e our alternative hypothesis is H1: >  

> sign indicates that the test is "right tailed test"

The critical value is and the critical region is >  .

Now,

t = 0.20 ...the value of test statistic

= 0.01 .. significance level.

But, the sample size n is not given. So,we cant find .

So answer is

B.There is not enough information given to make a decision