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When interpreting the results of any null hypothesis significance testing, we exam the p- value.Select the statements below that are true if p < .05:
When interpreting the results of any null hypothesis significance testing, we exam thep-value.Select the statements below that are true ifp< .05:
- Thep-value is too small to make a determination and neither the null nor the alternative hypotheses are significant.
- There is a difference in the groups being compared (or a relationship exists between the variables being examined).
- More data must be collected.
- The groups being compared are essentially equal or the same (or there is no relationship indicated between the variables).
- The test is NOT significant.
- In the case of ANOVA, post-hoc analysis should be conducted.
- Reject the null hypothesis
- The test has failed, and the researcher must start over.
- Fail to reject the null hypothesis.
- The test is significant.
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