The p-value in hypothesis testing:

Understanding the Importance and Interpretation of the p-value in Hypothesis Testing

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The p-value in hypothesis testing:

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A. B. C. D.

Explanation

The lowest significance level at which the null hypothesis can be rejected is called the p-value of the test. Thus, if the p-value is less than the significance level, the null hypothesis can be rejected at that significance level. None of the choices fit this definition of the p-value.

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