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Type II Error
A statistical error occurring when the null hypothesis is not rejected when it actually is false.
Type II Error
The error that occurs when a statistical test fails to reject a false null hypothesis, mistakenly indicating that a difference or effect does not exist.
Two-Tailed
Refers to a hypothesis test where the area of interest spans both tails of the distribution, allowing for testing of differences in both directions.
One-Tailed
A hypothesis test where the area of interest is only on one side of the distribution, testing for a direction-specific outcome.
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