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What are the differences between a type 1 and type 2 error. Which is worse and...

What are the differences between a type 1 and type 2 error. Which is worse and why?
Math   Statistics-And-Probability   
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Answer #1

Type I error committed if we reject null hypothesis ( H0 ) when it is true.

Type II error committed if we accept null hypothesis when it is wrong. That is accept null hypothesis when alternative hypothesis is true.

So type I error occur only when we reject null hypothesis.

And type II error occur only when we fail to reject null hypothesis.

Type I error is equal to the level of significance ( ) . Since type I error worse than type II error so we fixed it and try to minimize Type II error.

So Type I error is more serious(worse) that type II error.

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