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Identify Which of the Following Statements Is True

question 118

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Identify which of the following statements is true.


Definitions:

Effect Size

A quantitative measure of the strength of a phenomenon or the magnitude of a difference between groups in a statistical analysis.

Significance Level

A threshold used in hypothesis testing that determines the probability of rejecting a null hypothesis when it is actually true.

Type I Error

The incorrect rejection of a true null hypothesis, also known as a "false positive."

Type II Error

The error that occurs when a statistical test fails to reject a false null hypothesis, also known as a "false negative."

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