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Refers to an estimator of a population parameter that "hits the true value" on average. That is, a function of the observed data $\hat{\theta}$ is an unbiased estimator of a parameter $\theta$ if $E(\hat{\theta}) = \theta$. The simplest example of an unbiased estimator is the sample mean as an estimator of the population mean.

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Should the standard deviation be corrected in a Student's T test?

Using the Student's T test, T-Critical is calculated via: $t = \frac{\bar{X} - \mu_{0}}{s / \sqrt{n}}$ Looking at Wikipedia article on the unbiased Estimation of the standard deviation, there sectio …
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