Also called
the
magnitude, size represents
the literal numerical size, impact or importance of a statistic. For
example, if you have calculated an average, is it a big average in
its context? If you have calculated a correlation that represents
linear association, is it a big or small correlation and therefore
a strong or weak linear association?
Figure 12.1 Example of statistical output for the mean or average of a variable shows an example
of an output calculating the mean of spending on a product by business
customers. The key number is the literal size of the average, so we
see that in our sample, customers spend about $1,500.01 (rounded to
$1,500) per month.