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Explain the difference between type I and type ii error?
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Answer / Kaushal Pratap Singh
Type I error, also known as false positive, occurs when we incorrectly reject a true null hypothesis. It is the probability of making a mistake by falsely identifying an event or pattern that does not exist. Type II error, also known as false negative, occurs when we fail to reject a false null hypothesis. It is the probability of making a mistake by failing to identify an event or pattern that does exist.
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