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People Will Receive a Message Only If

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People will receive a message only if


Definitions:

Type I Error

The mistake of rejecting a true null hypothesis, also known as a "false positive".

Type II Error

A statistical error that occurs when the null hypothesis is not rejected when it is false, also known as a "false negative" finding.

Level Of Significance

The threshold probability used in hypothesis testing to determine if the null hypothesis can be rejected, typically denoted by alpha (α).

Power Of The Test

The likelihood that a test will correctly reject a false null hypothesis, indicating the test's sensitivity.

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