Abstract
This primer reviews a number of statistical concepts integral to the hypothesis testing process and its role in decision making. Concepts of variables, scales of measure, and measures of central tendency and dispersion are discussed, and a 5-step process of hypothesis testing is presented. Finally, a discussion of the statistical and clinical significance of research results is presented, along with the concept of confidence intervals as a method of conveying information about the effect size as well as the statistical significance of a difference between groups.
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