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What difference do you find in type1 and type 2 errors?
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Answer / Bharti Nayak
Type I (alpha) errors and Type II (beta) errors are two fundamental types of errors in statistical hypothesis testing. A Type I error occurs when we reject a true null hypothesis, meaning we falsely conclude that an effect exists when it does not. Conversely, a Type II error occurs when we fail to reject a false null hypothesis, meaning we accept the presence of no effect when one actually exists.
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