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What is the difference between type I and type ii error?
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Answer / Ashish Ranjan
Type I error (false positive) occurs when we reject a true null hypothesis, while Type II error (false negative) occurs when we fail to reject a false null hypothesis. In other words, Type I error refers to concluding that there is a relationship or effect when there isn’t one, and Type II error refers to failing to detect an existing relationship or effect.
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