Advanced Quantitative Methods
A Type I error occurs when a null hypothesis is incorrectly rejected, indicating that there is a significant effect or difference when, in reality, none exists. This error is crucial in understanding the reliability of hypothesis testing, as it directly relates to the alpha level, which sets the threshold for determining significance.
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