Tell us what's the difference between type I and type ii error?
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Answer / Umesh Kumar Rathore
Type I error, also known as a false positive, occurs when we incorrectly reject the null hypothesis (we assume that there is a relationship where none exists). Type II error, or false negative, happens when we fail to reject the null hypothesis (we don't find a relationship even though one exists).
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