what is the error and type of error
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Two types of error are distinguished: Type I error and type II error. Type I error. The first kind of error is the rejection of a true null hypothesis as the result of a test procedure. This kind of error is called a type I error and is sometimes called an error of the first kind.
Two potential types of statistical error are Type I error (α, or level of significance), when one falsely rejects a null hypothesis that is true, and Type II error (β), when one fails to reject a null hypothesis that is false. ... Reducing Type I error tends to increase Type II error, and vice versa.
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