Beta risk, statistically speaking, is the risk associated with accepting a null hypothesis when it is actually false. In other words, beta risk is a false negative in which a product is said to be free of defects when it actually has one.
Beta risk is also known as a Type-II error, or consumer’s risk.
See Also: Consumer’s Risk
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