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Differentiate between Type I and Type II error

Differentiate between Type I and Type II error

Math   Statistics-And-Probability   
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Answer #1

Hello SIr/ Mam

Type I error is the rejection of true null hypothesis while a Type II error occurs when we fail to reject false null hypothesis.

Type I error is called false positive while Type II error is called false negative.

For a better understanding, refer this chart.

I hope this solves your doubt.

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