Examlex
An essential part of scientific thinking is not only how to use statistics correctly, but also how to identify the misuse of statistics. Our authors suggest that students should:
Type I Error
The mistaken dismissal of an accurate null hypothesis, commonly known as a "false positive" result.
Type II Error
In statistical hypothesis testing, the error that occurs when one fails to reject a false null hypothesis (a false negative).
Significant
Indicates that the results in statistical analysis are likely not due to chance, and there is a certain degree of reliability in the findings.
Power
The probability that a statistical test will correctly reject a false null hypothesis, a measure of a test's capability to detect an effect when there is one.
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