# Which of the following are true? If false, explain briefly.

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.

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eskalopit
(a) 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.
(b) True
(c) False
If the null hypothesis is true then a​ P-value of 0.01 will occur about​ 99% of the time.
(d) False
The p-value is not a probability of an alternative (or null) hypothesis being true or false.
###### Not exactly what you’re looking for?
levurdondishav4
a) 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.
b) True.
c) False. If the null hypothesis is true then a​ P-value of 0.01 will occur about​ 99% of the time.
d) False. This​ P-value solely provides no evidence that​ it's false.
nick1337
Thanks a lot!