Examlex
Which one of the following statements is true?
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive".
Effect Size
A quantitative measure of the magnitude of the difference between groups or the strength of the relationship between variables in a statistical analysis.
Null Hypothesis
A statement positing that there is no significant difference or effect, often the initial assumption in hypothesis testing.
Type II Error
The error made when a test fails to reject a false null hypothesis, often denoted by beta (β).
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