Evidence-Based Practice for Nurses

(Ben Green) #1
Ungrouped Data Grouped Data
Age Tally Frequency Age Tally Percentage
18 ||| 3 18–19 |||| | 6
19 ||| 3 20–21 |||| | 6
20 | 1 22–23 |||| 5
21 |||| 5 24–25 | 1
22 ||| 3 > 25 || 2
23 || 2 Total 20
25 | 1
27 | 1
28 | 1
Total 20

TABLE 13-5 Mode of Age Data for 20 Subjects


change in just one data point affects the modality of the data. In the age data
presented in Table 13-3, note that the ungrouped data are unimodal with the
mode being 21. However, when the data are grouped, they become bimodal with
modes at 18–19 years as well as 20–21 years of age (Table 13-5). It is easy to see
the modes on the frequency polygon and histogram in Figure 13-1 because the
modes have the highest peaks and tallest bars. The mode is considered to be an
unstable measure of central tendency because it tends to vary widely from one
sample to the next. Given its instability, the mode is rarely presented as the sole
measure of central tendency.

Median
The median is the center of the data set. Just as the median of the road divides
the highway into two halves, the median of a data set divides data in half. If
there are an odd number of data points, the median is the middle value or the
score where exactly 50% of the data lie above the median and 50% of the data
lie below it. If there is an even number of values in the data set, the median
is the average of the two middle-most values and as such may be a number
not actually found in the data set. The median actually refers to the average
position in the data, and it is minimally affected by the existence of an outlier.
The position of the median is calculated by using the formula (n + 1)/2,
where n is the number of data values in the set. It is important to remember that

KEY TERMS
median: The point
at the center of a
data set
position of the
median: Calculated
by using the
formula (n + 1)/2,
where n is the
number of data
values in the set

338 CHAPTER 13 What Do the Quantitative Data Mean?

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