P-Value: The probability that an effect is actually due to chance (rather than due to an intervention), A probability measured between 0 and 1 that is an outcome of a study., You can remember this because "P for probability.", Alpha: A probability measured between 0 and 1 that must be set before a study begins., The level of significance you set before you begin a study.:, The traditional measure of this is 0.05. (This is the one that you set before the study.), Cohen's D: You can remember this because "D for difference between two means", A number that can be negative or positive, tends to be fairly small (smaller than 2 or 3), and measures the size of an effect., A number that explains the difference of means between a control and treatment group., Pearson's R: A number that explains how two variables correlate., A number measured between -1 and 1 that represents how strong a relationship is., You can remember this because "R for relationship.", To make this bigger, you need a stronger relationship between two variables.,

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