Examlex
Most DSS are constructed to directly support specific decision making.In contrast,BI systems,in general typically provide accurate and timely information to support decision support indirectly.This difference is diminishing because decision support tools are being added to BI software packages.
Type I Error
A statistical error made by rejecting the null hypothesis when it is actually true, known as a false positive.
Type II Error
The failure to reject a false null hypothesis, also known as a "false negative."
Null Hypothesis
A statement positing that there is no significant difference or effect, serving as the default assumption in hypothesis testing.
Type II Error
The error that occurs when a false null hypothesis is not rejected, also known as a "false negative."
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