Type II error has been known to be called a type of risk which is known as b. consumer's risk.
This refers to a scenario in statistics where a consumer does not reject a null hypothesis that is false.
It is called a consumer risk because a consumer might have a null hypothesis that a product is good and fail to reject this hypothesis leading to them picking a bad product.
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