In hypothesis testing, in order to reject the null, our P value (P) must be ________ our preset Alpha ($\alpha$) Value. O greater than less than O equal to O in opposition to
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Step 1: The p-value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true. Show more…
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In order to reject the null hypothesis the p-value must be less than the value of the hypothesized parameter listed in the null hypothesis the test statistics must be close to zero the test statistic must exceed the level of significance the p-value must be less than or equal to the level of significance the test statistic must be positive
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If the p-value is less than alpha in a two-tailed test, the null hypothesis should not be rejected. The null hypothesis should be rejected. A one-tailed test should be used. No conclusion should be reached.
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In order to reject a null hypothesis, one should get a sample statistic that is far away from the hypothesized value. The farther this sample statistic is from the hypothesized value, the p-value
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