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.

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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

the p -value for the test is greater than 0.05. Suppose we are testing the null hypotheses H0: µ = 50 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.

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

Answers B,B,F