Question 1 (1 point) In the article, Statisticians Found One Thing They Can Agre

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Question 1 (1 point) In the article, Statisticians Found One Thing They Can Agree On: It's Time To Stop Misusing P-Values; the ASA panel decided to define p-value as follows: Informally, a p-value is the probability under a specified statistical model that a statistical summary of the data would be equal to or more extreme than its observed value. In Stat 301, what do we call the, specified statistical model in this definition? The Alternative Hypothesis The Confidence Interval The Null Hypothesis The Point Estimate The Test Statistic Save

Explanation / Answer

Basically, p-value=P(X>observed x), under null hypothesis.

1)Clearly, the 'specified statistical model' means the null hypothesis.

2) Chance factor is a prime factor in case of hypothesis testing. So, clearly option (b) is correct here.

3) by the definition of p-value, option (a) is correct.

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