UniODA and Small Samples

Paul R. Yarnold

Optimal Data Analysis, LLC

Statistical hypotheses investigated by researchers representing a vast domain of empirical disciplines often involve discrimination and prediction of discrete outcomes: life versus death in medicine, innocent versus guilty in law, profit versus loss in finance, victory versus defeat in military science, etcetera. Although some studies feature large samples of a thousand or more observations, most of the literature employs much smaller samples. Preliminary research and examination of theoretical distributions indicates that UniODA is capable of identifying statistically significant effects in applications offering very small samples.

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