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P-Value
A statistical measure indicating the probability of obtaining test results at least as extreme as the ones observed during the test, assuming that the null hypothesis is true.
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive" in hypothesis testing.
P-Value
The probability of observing a test statistic at least as extreme as the one observed, assuming the null hypothesis is true.
Significance Level
The probability of rejecting the null hypothesis in a statistical test when it is actually true, a measure of the risk of making a Type I error.
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