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In a _____, the Strength of the Effect Varies Under

question 2

Multiple Choice

In a _____, the strength of the effect varies under certain conditions, but not the _____.


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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