Final answer:
Type I error is rejecting the null hypothesis incorrectly, leading to a false positive.
Explanation:
Type I error occurs when the null hypothesis is rejected incorrectly, indicating a difference between groups that does not actually exist, leading to a false positive. This error is symbolized by the Greek letter alpha (α) and relates to the concept of p-values. Researchers aim to minimize Type I errors to avoid accepting false claims.
Learn more about Type I error here:
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