Concept Check: Interpreting the p-value
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Consider a hypothesis test with null H0 and alternative H1 regarding an unknown parameter θ. You observe a sample X1,…,Xn∼iidPθ and compute the p-value.
What is a correct interpretation of the p-value?
A hypothesis test is conducted, with null hypothesis H0 and alternative hypothesis H1, regarding a parameter .
Now, a sample X1, X2, X3,.... ,Xn are randomly selected from the population.
Now, the p-value is calculated.
We know that the p-value is the probability that the results of the hypothesis test is observed, when the Null hypothesis is actually true.
So, the correct interpretation of the p value is
It is the probability of observing the test statistic from a hypothesis test, given that the Null hypothesis is correct.
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