Kinesiology 2032A/B Lecture Notes - Lecture 16: Null Hypothesis, Statistical Hypothesis Testing, Test Statistic
23 Mar 2020
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Making a hypothesis: hypothesis = best guess, we always compare out best guess against the assumption that nothing happened, research hypothesis vs. null hypothesis. Inferential statistical analysis is the test of the null hypothesis: you either reject or fail to reject the null hypothesis. Since you are always testing your research hypothesis against the null hypothesis, your proposed effect is demonstrated when the null hypothesis is rejected. If you reject the null hypothesis, you may conclude that the alternative hypothesis is likely correct: you never accept the null hypothesis. Critical values and rejection region: the critical values is the point on the scale of the test statistic beyond which we reject the null hypothesis. In a directional hypothesis, there is a specific result that one wants to test: change must occur in the correct direction as compared to the mean.
