(b) The P-value of a test of a null hypothesis isO A. the probability the null hypothesis is true.O B. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.O C. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.O D. the probability the null hypothesis is false.

Name: (b) The P-value of a test of a null hypothesis isO A. the probability
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Description: (b) The P-value of a test of a null hypothesis isO A. the probability the null hypothesis is true.O B. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.O C

In this case, we need to define the P-value.

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The P-value of a test of a null hypothesis is A. the probability the null hypothesis is true. B. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. C. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed. D. the probability the null hypothesis is false.

The P-value of a test of a null hypothesis is A. the probability the null hypothesis is true. B. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed. C. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed. D. the probability the null hypothesis is false.

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2-Proportion Test

In a 2-proportion test, two separate proportions are measured at the same time, and their similarity is evaluated. It is also known as a 2-proportion z-test, and a comparison of two different proportions is done in this method.

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(b) The P-value of a test of a null hypothesis is
O A. the probability the null hypothesis is true.
O B. the probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.
O C. the probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.
O D. the probability the null hypothesis is false.

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