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What Are the Two Common Attribution Errors

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What are the two common attribution errors?


Definitions:

Type II Error

The error that occurs when a false null hypothesis is not rejected.

Type I Error

The incorrect rejection of a true null hypothesis, also known as a "false positive," occurring when a statistical test falsely indicates the presence of an effect.

Type I Error

A statistical error made by rejecting the null hypothesis when it is actually true, known as a false positive.

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