The p-value of a test is the smallest value of α that would lead to the rejection of the null hypothesis.Group of answer choicesTrueFalse

When the p-value is used for hypothesis testing , the null hypothesis is rejected if Group of answer choicesp value is less than or equal to alphapvalue is greater than alphap value is equal to alphaalpha less than the pvalue

The p-value criterion for hypothesis testing is to reject the null hypothesis if:Group of answer choices

Under what circumstances can we reject the null hypothesis?Group of answer choicesWhen the p-value is lower than the significance levelNeverWhen the p-value is lower than the test statisticWhen the p-value is higher than the significance level

The p-value in hypothesis testing represents which of the following: Group of answer choicesThe probability of failing to reject the null hypothesis, given the observed resultsThe probability that the null hypothesis is true, given the observed resultsThe probability that the observed results are statistically significant, given that the null hypothesis is trueThe probability of observing results as extreme or more extreme than currently observed, given that the null hypothesis is true

The null hypothesis is most appropriately rejected when the p-value