Examlex
How many types of opinions are there?
Type I Error
The mistake of rejecting a true null hypothesis in hypothesis testing, also known as a "false positive."
Type II Error
A statistical error that occurs when a false null hypothesis is not rejected, indicating a false negative finding in testing.
Null Hypothesis
A statement in statistics that proposes there is no significant difference or effect, often tested against an alternative hypothesis.
Alternative Hypothesis
A statement that contradicts the null hypothesis, suggesting that there is a significant difference or effect in a population parameter.
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