False Positive Rate

Chance that we observe an effect when one does not exist

In statistical testing, false positive rate refers to the expected chance that we observe a statistically significant result when there is no actual effect. This is the same as significance level and alpha. A significance level of 0.05 (5%) means we are setting our false positive rate to 5%.

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