Which of the following are true? if false, explain briefly.
a) if the null hypothesis is true, you'll get a high p-value.
b) if the null hypothesis is true, a p-value of 0.01 will occur about 1% of the time.
c) a p-value of 0.90 means that the null hypothesis has a good chance of being true.
d) a p-value of 0.90 is strong evidence that the null hypothesis is true.
a) choose the correct answer below.
a. true.
b. false. a true null hypothesis will result in a small p-value.
c. false. whether the null hypothesis is true has no effect on the p-value.
d. false. the p-value is about the data, not the hypothesis. it's likely that you'll get a reasonably high p-value, but it's not guaranteed.