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@ -34,6 +34,7 @@ Lets compute the discrepency between population variance and the biased sample v
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This result shows us that the discrepency between the population and sample variance is :math:`\frac{\sigma^2}{n}`.
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It is simply, the :ref:`Standard Error of the Mean <SEM>`.
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From this result we can deduce how :math:`S_n^2` must be adjusted:
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.. math::
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@ -64,6 +64,7 @@ When working with a sample, the following is an unbiased estimator of the standa
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To understand why denominator is :math:`n-1` see :ref:`Bessel's correction <bessel_correction>`.
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.. _sem:
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Standard Error of the Mean
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-----------------------------
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