Asked by Shane Cornfield on Jun 23, 2024

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Define Type I error.

Type I Error

The incorrect rejection of a true null hypothesis, often referred to as a "false positive."

  • Gain an understanding of the discrepancies between Type I and Type II errors within the context of statistical analysis.
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Lediya SolomonJun 24, 2024
Final Answer :
A type I error means that you decided wrongly that there was a significant result. That is, there actually was not a significant result, but you reported that there was.