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What must any culture do to ensure its ongoing existence?
Critical Value
A point on the test distribution that is compared to the test statistic to determine whether to reject the null hypothesis in hypothesis testing.
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.
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