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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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