Figure 9-3
-According to Figure 9-3 above, column A represents
Definitions:
Type I Error
The mistake of rejecting the null hypothesis when it is actually true, commonly referred to as a "false positive."
Type II Error
The error that occurs when a false null hypothesis is not rejected.
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive," occurring when a statistical test falsely indicates the presence of an effect.
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