Examlex
Suppose we have a 0-1 output for whether a bidder wins a contract in a bidding model (0=bidder does not win contract,and 1=bidder wins contract) .From the mean of this output we can tell:
Type I Error
The mistaken dismissal of a correct null hypothesis, referred to as a "false positive."
Type II Error
A statistical mistake made by failing to reject a false null hypothesis, also known as a false negative.
Null Hypothesis
A default hypothesis that there is no significant difference or relationship, serving as the basis for statistical testing.
Alternative Hypothesis
It is a statement that suggests there is a difference or effect in the population parameters being studied, contradicting the null hypothesis.
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