1. Suppose that an experiment finds that more women prefer Toyotas than men. If the p-value is 0.14, then:
The results are wrong
There is a 14% chance of getting similar or stronger results if men and women like Toyotas equally.
It is only true of 14% of the women
Only 14% of men prefer Toyotas
There is a 14% chance that this study is wrong
There is a 14% chance that this study is right

2. the p -value for the test is greater than 0.05.
Suppose we are testing the null hypotheses H0: µ = Ha: µ ≠ 50 for a normal population with s = 6. The 95% confidence interval is (51.3, 54.7). Then:
the p -value for the test is greater than 0.05.
the p -value for the test is less than 0.05.
the p -value for the test could be greater or less than 0.05.
It can't be determined without knowing the sample size.

3. Suppose an experiment has a p-value of 0.01. Then
There is a 1% chance of getting results at least this strong
There is a 1% chance the result is wrong
There is a 1% chance of getting this result
More than one of A,B,C are true
All of A,B,C are true
None of the above are true

4. Answers
B,B,F