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According to the classical model, desired saving is
Sample Size
The number of subjects included in a study, influencing the study's ability to reliably detect effects or differences.
Type I Error
The incorrect rejection of a true null hypothesis, often referred to as a "false positive."
Type II Error
A statistical mistake that occurs when a test fails to reject a false null hypothesis.
Homogeneous Sample
A sample in which all the subjects or items have similar characteristics or attributes.
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