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A paralegal should be aware of the fact that different eyewitnesses to the same event may have
Type II Error
The error of accepting H0 when it is false.
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.
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