Examlex
From a retailer's perspective,what two goals need to be balanced with a JIT system?
Type II Error
Occurs in hypothesis testing when a false null hypothesis is not rejected, leading to the false conclusion that a difference or effect does not exist when it actually does.
Power
The probability that a statistical test will correctly reject a false null hypothesis; related to the capability to detect an effect if there is one.
Type II Error
The error that occurs when a statistical test fails to reject a false null hypothesis.
Type I Error
The incorrect rejection of a true null hypothesis, or "false positive," often denoted by alpha (α).
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