Intro to Mathematical Economics
A Type I error occurs when a true null hypothesis is incorrectly rejected, leading to a false positive conclusion. This kind of error can significantly impact results in statistical testing, as it suggests that there is an effect or difference when, in fact, there is none. Understanding Type I errors is crucial for interpreting results correctly and managing the risks associated with statistical decisions.
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