
44 Applying Analytics: A Practical Introduction
discussed in the next section, is an improvement on the variance for this
reason. For what it’s worth, let’s go through a simple interpretation of the
variance. From Equations 3.6 and 3.7, you can see that the further an element
is from the mean, the more it adds to the variance. This ha ppens regardless
of whether the element is larger or smaller than µ, beca us e the differe nce is
squared so any difference will add to s. For this reason, data sets that have
larger s tend to be more spread out from the mean. Dividing by n (or n − 1)
normalizes s so that data sets that have mo re elements don’t necessarily ...