Chapter 12 - Mastery Terms
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Probability of a Type I error.
The investigator's working hypothesis (also called the experimental hypothesis), which in null hypothesis significance testing (NHST) is in opposition to the null hypothesis (H0).
Probability of a Type II error.
The hypothesis to be nullified; usually states that there is no relationship between two or more variables.
In significance testing, the probability of not making a Type II error.
Probability value or level obtained in a test of significance.
Type I error
The error of rejecting the null hypothesis when it is true.
Type II error
The error of failing to reject the null hypothesis when it is false.
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