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Definitions:

Type II Error

The error that occurs when a false null hypothesis is not rejected, meaning a real effect or difference was missed.

Type I Error

The mistake of rejecting a true null hypothesis, or in other words, concluding that a difference or effect exists when it actually does not.

Decision Rule

A pre-determined guideline or criterion used to choose between multiple alternatives in the face of uncertainty, often based on statistical analysis.

P Value

The probability of observing the given result, or more extreme, by chance if the null hypothesis is true.

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