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When interpreting the results of any null hypothesis significance testing, we examine the p- value.Select the statements below that are true if p < .05:
When interpreting the results of any null hypothesis significance testing, we examine thep-value.Select the statements below that are true ifp< .05:
- The groups being compared are essentially equal or the same (or there is no relationship indicated between the variables).
- The test is NOT significant.
- The test has failed, and the researcher must start over.
- Reject the null hypothesis
- Fail to reject the null hypothesis.
- The test is significant.
- More data must be collected.
- 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).
- If using an ANOVA,p< .05 indicates post-hoc testing is appropriate for specific information about where differences occur
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