For Unbiased. we have a term and definition in Statistics.

These refer to hypothesis testing. A Type I error occurs when the null hypothesis is rejected erroneously when it is in fact true. A Type II error occurs if the null hypothesis is not rejected when it is in fact false. See also significance level and power.
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