If the research hypothesis states that posttest scores will be higher than pretest scores, one tailed test should be used.
What is one tailed test?
- The critical area of a distribution in a one-tailed test is one-sided, meaning that it can only be higher than or less than a specific value and not both.
- The alternative hypothesis will be accepted instead of the null hypothesis if the sample under test falls into the one-sided critical region.
- When you want to test your hypothesis in both directions, you would use a two-tailed test.
- With a one-tailed test, the analyst totally ignores the potential of a relationship in the other direction while testing for the likelihood of a relationship in the direction of interest.
- The analyst must provide a null and alternative hypothesis as well as a probability value before doing a one-tailed test (p-value).
Learn more about one tailed test here:
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