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Introduction to Statistics and Quantitative Research Methods

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Beta<br />

•<br />

•<br />

•<br />

Beta is the probability of making a Type 2 error when testing a<br />

hypothesis.<br />

Type 2 error is failing <strong>to</strong> detect an association when one exists,<br />

or failing <strong>to</strong> reject the null hypothesis when it is actually false.<br />

You kept the null hypothesis when you should not have.<br />

•<br />

If Drug X <strong>and</strong> Drug Y produced different effects, <strong>and</strong> it was<br />

concluded that they produce the same effects.

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