120 PART 3 Getting Down and Dirty with Data

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» Coefficient of variation: The coefficient of variation (CV) is the SD divided by

the mean. For the DBP example, CV

14.4 / 98.3 0.1465, or 14.65 percent.

Range

The range of a set of values is the minimum value subtracted from the maximum

value:

Range maximum value minimum value

Consider the example from the preceding section, where you had DBP measure-

ments from seven study participants (which were 84, 84, 89, 91, 110, 114, and

116 mmHg). The minimum value is 84, the maximum value is 116, and the range

is 32 (equal to 116

84

).

Centiles

The basic idea of the median is that ½ (half) of your numbers are less than the

median, and the other ½ are greater than the median. This concept can be

extended to other fractions besides ½.

A centile (also referred to as percentile) is a value that a certain percentage of the

values are less than. For example, ¼ of the values are less than the 25th centile

(and ¾ of the values are greater). The median is just the 50th centile. The 25th,

50th, and 75th centiles are called the first, second, and third quartiles, respectively,

and are used often. There are other sets of centiles, such as deciles, which break at

every ten percentiles, that are used less often.

As we explain in the earlier section “Median,” if the sorted sequence of your

numerical variable has no middle value, you have to calculate the median as the

average of the two middle numbers. The same situation comes up in calculating

centiles, but there are different ways that statistical software does the calculation.

Fortunately, the different formulas they use give nearly the same result.

The inter-quartile range (IQR) is the difference between the 25th and 75th centiles

(the first and third quartiles).

Numerically expressing the symmetry

and shape of the distribution

In the following sections, we discuss two summary statistics used to describe

aspects of the symmetry and shape of the distribution of values of numerical vari-

ables (pictured earlier in Figure 9-2).