Methods for Social Researchers in Developing Countries





Frequency
distributions


Analyzing
single
variables


Presenting univariate
data


Measures of
central
tendency


Measures of
variability


Standard
deviation and
the normal distribution


Computer
analysis
reminder

Aids

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Measures of central tendency


In everyday life, we use descriptions like “typical” or “average” to describe events and behavior. Your grade point average is an example of this. It is the typical grade you have received for all the courses you have completed. In statistics, an average, like your grade point average, is referred to as a mean. It is the sum of all the numbers in a set divided by the number of cases that were added together. Two other measures of central tendency are also used. These are the mode and the median. The mode is the value or attribute that occurs most frequently. The median is the middle value in a set of scores that are arranged from low to high. Ordinal, interval, or ratio measurements can be ordered in this way. Table 17.6 shows all three measures of central tendency for the same distribution. What is the “typical” size of household in this sample? There are actually three answers to this question. The easiest one to find is the mode.

Table 17.6. Illustration of mean, median and mode

Size of Households
(X)
 
f
 
fX
  Cumulative
frequency
  2
3
 
6
 
3
 
  3
-
 
-
 
3
 
  4
5
 
20
 
8
 
  5
12
 
60
 
20
 
  6
17
 
102
 
37
 
  7 ← Mean  
21
 
147
 
58
Median
Mode = 8
34
 
272
 
92
 
  9
29
 
261
 
121
 
  10
9
 
90
 
130
 
  11
4
 
44
 
134
 
  12
3
 
36
 
137
 
  13
1
 
13
 
138
 
  14 or more
2
 
28
 
140
 
N
1401
140
     1,079= ∑fX


Mode

Looking at the frequency column, the largest value is 34 and this occurred for the household size of 8. Eight, therefore, is the mode for this distribution. In a percentage distribution, the mode is the value with the largest percentage; in a bar graph, it is the highest bar; in a frequency polygon, it is the value which has the highest point. A distribution, however, may have more than one mode.

For example, look at the frequencies for codes for five responses to a questionnaire item:

1— Strongly agree 13
2 — Agree 28
3 — Uncertain 19
4 — Disagree 28
5 — Strongly disagree 9

This distribution has two modes — for “agree” and for “disagree”. Each had an f of 28. When there are two modes a distribution is said to be bimodal. The mode becomes less meaningful as a measure of central tendency as the number of modes increases.

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