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To reduce the organization's cycle time is to reduce the number of
Null Hypothesis
A default hypothesis that there is no significant difference or relationship between specified populations, any observed effect is due to sampling or experimental error.
Type I Error
The statistical error that occurs when a true null hypothesis is incorrectly rejected.
Correct Decision
A conclusion or judgement that is accurate, based on the evaluation of evidence or data.
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.
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