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can be examined in both simple bivariate designs and longitudinal designs.
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.
Level Of Significance
The threshold chosen for determining whether a statistical result obtained is deemed significant, typically represented as a probability value (p-value).
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