The Type I error rate is the probability of incorrectly rejecting a true null hypothesis, often denoted as alpha (α). This error indicates a false positive result, where a test suggests that an effect or difference exists when, in fact, it does not. Understanding the Type I error rate is essential for evaluating the reliability of hypothesis tests and determining the statistical significance of results.
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