Examlex
Researchers at the Ohio State University identified two major behaviors called:
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive" finding or conclusion.
Type II Error
A statistical error in which a false null hypothesis is not rejected, also known as a 'false negative'.
Null Hypothesis
A statistical hypothesis that assumes no significant difference or effect exists within a certain set of observations.
Significant Difference
A statistical measure indicating that the observed difference between two datasets is likely not due to random chance.
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