What is the definition of the p-value? group of answer choices the probability that we would see a test statistic this extreme or more if the null hypothesis were true. the probability that we would see a test statistic this extreme or more if the alternative hypothesis were true. the probability that the alternative hypothesis is true. the probability that the null hypothesis is true.

The definition of the p-value is the probability that we would see a test statistic this extreme or more if the null hypothesis were true.

The first option is correct.

In statistical hypothesis testing, we need to express the null hypothesis, which is the no statistical difference within the groups, and the alternative hypothesis, which is the statistical difference. Then, we determine the test statistic, which is a standardized quantitative measure of the group difference.

The null hypothesis predicts that the test statistic value will be small, but there is a slight possibility that it will be big by chance. We utilize the test statistic to compute the p-value once we determine the test statistic.

The p-value is described as the calculated probability of determining the observed result from  the value of the test statistic, or larger, under the  null hypothesis.

The extreme now depends on the extent to which the hypothesis is being tested.

Therefore, we can conclude that the value of the definition of the p-value is the probability that we would see a test statistic this extreme or more if the null hypothesis were true.

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The definition of the p-value is A. The probability that we would see a test statistic this extreme or more if the null hypothesis were true.

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a

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i believe it's a.

i'm not sure on this one, most likely correct.