Explain Type 1 error in simple terms

Question

How do you explain Type 1 error in simple terms

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TheDataMonk 55 years 1 Answer 748 views Grand Master 0

Answer ( 1 )

  1. Type 1 error is rejection of null hypothesis when it’s actually true.The risk of committing this error is the significance level (alpha or α) you choose. That’s a value that you set at the beginning of your study to assess the statistical probability of obtaining your results (p value). type 1 error is also called producer risk.

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