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As a result of changes in the southern backcountry in the late nineteenth century,
Level Of Significance
The threshold below which a p-value must fall for an effect or difference to be considered statistically significant in hypothesis testing.
P-Values
The probability of observing a statistical summary (e.g., difference in means) as extreme as, or more extreme than, the observed results under the null hypothesis.
P-Value
The probability of obtaining test results at least as extreme as the results actually observed, under the assumption that the null hypothesis is correct.
Type I Error
The mistake of wrongly rejecting a true null hypothesis.
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