The significance level is the chosen upper bound on a test's probability of rejecting the null hypothesis when it is true.
A result is statistically significant when its calibrated p-value falls below this chosen threshold.
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- Alpha-spending function
- Exact conditional Pearson test for a binary contingency table
- False alarm rate
- Kolmogorov-Smirnov test
- Normal mean confidence interval and hypothesis test duality
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- Statistical significance
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