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Type 2 Error: Definition & Examples (Easy Explanation)

A type 2 error occurs in hypothesis testing when a false null hypothesis is mistakenly accepted. This means failing to detect an effect when one actually exists. For example, a medical test may fail to diagnose a disease that is present. Researchers aim to minimize type 2 errors by increasing sample size and statistical power.

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