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Loïc Guégan 2023-10-16 12:21:23 +02:00
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source/statistics/bessel_correction.rst
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@ -34,6 +34,7 @@ Lets compute the discrepency between population variance and the biased sample v
This result shows us that the discrepency between the population and sample variance is :math:`\frac{\sigma^2}{n}`. This result shows us that the discrepency between the population and sample variance is :math:`\frac{\sigma^2}{n}`.
It is simply, the :ref:`Standard Error of the Mean <SEM>`.
From this result we can deduce how :math:`S_n^2` must be adjusted: From this result we can deduce how :math:`S_n^2` must be adjusted:
.. math:: .. math::

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source/statistics/metrics.rst
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@ -64,6 +64,7 @@ When working with a sample, the following is an unbiased estimator of the standa
To understand why denominator is :math:`n-1` see :ref:`Bessel's correction <bessel_correction>`. To understand why denominator is :math:`n-1` see :ref:`Bessel's correction <bessel_correction>`.
.. _sem:
Standard Error of the Mean Standard Error of the Mean
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