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Be careful since this term overloads a common and somewhat controversial term - the "power" of the test -- the "beta" or probability the test will overlook a valid result. Test power has its own controversies (that it is usually ignored, and tests consequently are under-powered) See J. Cohen's 1988 statistics book.

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John Mark Agosta

"Data Science" is a broadly encompassing term, and I focus on modelling, specifically the initial statistical formulation stages.