A Type I error occurs when a researcher rejects the null hypothesis when the null hypothesis is true.

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A Type I error is known as a false positive, where the researcher concludes that there is a significant effect or relationship when there is not. This can occur when the researcher sets the level of significance (alpha) too high or when there is a small sample size that leads to a weak statistical power.

A Type I Error Occurs When a Researcher Rejects the Null