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A company considering outsourcing must realize that the solution can be only as good as the outsourcing firm that provides the service.
Reject
In statistical hypothesis testing, to "reject" means to discard the null hypothesis in favor of the alternative hypothesis based on the evidence provided by the sample data.
Type I
A type of error in statistical hypothesis testing, occurring when the null hypothesis is wrongly rejected.
Type II
Refers to a Type II error in statistical hypothesis testing, which occurs when a false null hypothesis is not rejected.
Type I Error
The incorrect rejection of a true null hypothesis, often denoted as a false positive.
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