Definition of Type II Error:
In hypotheis testing: failing to reject a false null hypothesis (e.g., failing to convict a guilty person).
TYPE 2 errors are those where scientists assumed no relationship exists when in fact it does.
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Consumers Risk – Accepting and shipping bad parts.
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