@@ -501,9 +501,9 @@ However, for reading convenience, most of the examples show sorted sequences.
501501 variance indicates that the data is spread out; a small variance indicates
502502 it is clustered closely around the mean.
503503
504- If the optional second argument *mu * is given, it is typically the mean of
505- the *data *. It can also be used to compute the second moment around a
506- point that is not the mean. If it is missing or ``None `` (the default),
504+ If the optional second argument *mu * is given, it should be the * population *
505+ mean of the *data *. It can also be used to compute the second moment around
506+ a point that is not the mean. If it is missing or ``None `` (the default),
507507 the arithmetic mean is automatically calculated.
508508
509509 Use this function to calculate the variance from the entire population. To
@@ -573,8 +573,8 @@ However, for reading convenience, most of the examples show sorted sequences.
573573 the data is spread out; a small variance indicates it is clustered closely
574574 around the mean.
575575
576- If the optional second argument *xbar * is given, it should be the mean of
577- *data *. If it is missing or ``None `` (the default), the mean is
576+ If the optional second argument *xbar * is given, it should be the * sample *
577+ mean of *data *. If it is missing or ``None `` (the default), the mean is
578578 automatically calculated.
579579
580580 Use this function when your data is a sample from a population. To calculate
@@ -590,8 +590,8 @@ However, for reading convenience, most of the examples show sorted sequences.
590590 >>> variance(data)
591591 1.3720238095238095
592592
593- If you have already calculated the mean of your data, you can pass it as the
594- optional second argument *xbar * to avoid recalculation:
593+ If you have already calculated the sample mean of your data, you can pass it
594+ as the optional second argument *xbar * to avoid recalculation:
595595
596596 .. doctest ::
597597
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