The assessment of statistical significance helps researchers summarize the evidence against a null hypothesis. However, it is not always a simple task to discern the true meaning or value of the results of null hypothesis significance testing to a research study. This poster will focus on visual explanations of the meaning of statistical significance and offer guidance on why one might choose a particular significance level. In addition, the relationship between statistical significance and confidence intervals, and the trade-offs inherent in choosing a significance level, power, and sample size in the context of variability and the determined level of practical significance will be illustrated
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