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The median is a measure of central tendency and is the point in a group of values with an equal number of values above and below that point.

The computation of the median is as follows.

  • For an odd number of values, the position of the median is given by (N + 1)/2. If we have 15 cases, the median is the 8th case.
  • For an even number of cases (N + 1)/2 does not give a whole number. In this case, the median is the (arithmetic) mean of the two values immediately above and below.

For example, the data set in Table 1 consists of 11 test scores.

First of all, the values need to be sorted from smallest to largest value: 4, 5, 6, 6, 6, 7, 7, 7, 8, 8, 9. Then, the midpoint needs to be found that splits the sample into two halves. In this example we have an odd number of participants, so we will have a midpoint that represents the point on which an equal number of values on each side is present. To the left of the midpoint, the values 4, 5, 6, 6, and 6 are present, and to the right, the values 7, 7, 8, 8, and 9. In this example, the midpoint of the row of numbers has a value of 7, so the median is 7.

Consider also a sample of an even number of participants who have achieved the test scores 4, 5, 6, 6, 6, 6, 7, 7, 7, 8, 8, and 9. The midpoint has to be computed by finding the two values in the middle—here, 6 and 7—and the mean of the two will be the median, so the median is 6.5.

Table 1 Sample Data Set
ParticipantTest Score
17
28
36
47
55
66
74
87
96
108
119

More about the Median

  • In a group with an odd number of values, the median is a specific value (an identifiable individual) in the group. It is not computed by directly taking the other values of the group into account. In a group with an even number of values, the mean of the two middle values is taken. Other than these two, no other values enter the equation.

    Figure 1 SPSS Output

    None
  • The median is a midpoint that splits a group into two halves equal in their number of values but not equal in their actual values.
  • The median is not sensitive to extreme scores. The magnitude of the other values in the group and their relative magnitude in comparison to the median are not taken into account. In a group with the values 1, 2, and 99, 2 is the median. An extreme score can pull the mean in one or another direction and make it less representative of the set of scores and less useful as a measure of central tendency.
  • The median can be a more useful descriptor in a skewed distribution than the mean.

Analysis Using SPSS

Figure 1 shows a simple output using SPSS's descriptive feature.

  • equal value
SusanneHempel

Further Reading

Salkind, N. J. (2004). Statistics for people who (think they)

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