The p-value criterion for hypothesis testing is to reject the null hypothesis if:Group of answer choices
Question
The p-value criterion for hypothesis testing is to reject the null hypothesis if:Group of answer choices
Solution
The p-value criterion for hypothesis testing is to reject the null hypothesis if:
The p-value is less than or equal to the significance level (alpha).
Here's a step-by-step explanation:
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The p-value is a measure of the probability that an observed difference could have occurred just by random chance. The smaller the p-value, the greater the statistical evidence you have to reject the null hypothesis.
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The significance level (alpha) is a threshold set before the study that defines the probability of rejecting the null hypothesis when it is true. Commonly used
Similar Questions
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
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 of a test is the smallest value of α that would lead to the rejection of the null hypothesis.Group of answer choicesTrueFalse
The null hypothesis is most appropriately rejected when the p-value
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
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