Examlex
The tendency for respondents to agree with most questions in a survey is known as:
Type I Error
Wrongly dismissing a true null hypothesis, commonly called a "false positive."
Type II Error
The statistical error occurring when a test fails to reject a false null hypothesis, also known as a "false negative."
Type I Error
The mistake of rejecting a true null hypothesis, also known as a false positive.
Type II Error
The statistical error that occurs when one fails to reject a false null hypothesis, a mistake of not detecting an effect that is there.
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