Examlex
Which of the following is NOT a factor to the success of just-in-time systems?
Type I Error
The error made when a true null hypothesis is incorrectly rejected.
Type II Error
The error that occurs when a false null hypothesis is not rejected, also known as a "false negative."
Probability
The degree to which something is likely to happen, quantified as a number between 0 (impossible) and 1 (certain).
P-Values
Probabilities used to quantify the significance of findings, or the likelihood that the observed data occurred by chance under the null hypothesis.
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