1
Measures of Central Tendency
2
Measures of Central Tendency
A measure of central tendency is a
descriptive statistic that describes the
average, or typical value of a set of scores
There are three common measures of central
tendency:
the mode
the median
the mean
3
The Mode
The mode is the score
that occurs most
frequently in a set of
data
0
1
2
3
4
5
6
75 80 85 90 95
Score on Exam 1
Frequency
4
Bimodal Distributions
When a distribution
has two “modes,” it is
called bimodal
0
1
2
3
4
5
6
75 80 85 90 95
Score on Exam 1
Frequency
5
Multimodal Distributions
If a distribution has
more than 2 “modes,”
it is called multimodal
0
1
2
3
4
5
6
75 80 85 90 95
Score on Exam 1
Frequency
6
When To Use the Mode
The mode is not a very useful measure of central
tendency
It is insensitive to large changes in the data set
That is, two data sets that are very different from each other
can have the same mode
0
1
2
3
4
5
6
7
1 2 3 4 5 6 7 8 9 10
0
20
40
60
80
100
120
10 20 30 40 50 60 70 80 90 100
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When To Use the Mode
The mode is primarily used with nominally
scaled data
It is the only measure of central tendency that is
appropriate for nominally scaled data
8
The Median
The median is simply another name for the
50th
percentile
It is the score in the middle; half of the scores
are larger than the median and half of the scores
are smaller than the median
9
How To Calculate the Median
Conceptually, it is easy to calculate the median
There are many minor problems that can occur; it
is best to let a computer do it
Sort the data from highest to lowest
Find the score in the middle
middle = (N + 1) / 2
If N, the number of scores, is even the median is
the average of the middle two scores
10
Median Example
What is the median of the following scores:
10 8 14 15 7 3 3 8 12 10 9
Sort the scores:
15 14 12 10 10 9 8 8 7 3 3
Determine the middle score:
middle = (N + 1) / 2 = (11 + 1) / 2 = 6
Middle score = median = 9
11
Median Example
What is the median of the following scores:
24 18 19 42 16 12
Sort the scores:
42 24 19 18 16 12
Determine the middle score:
middle = (N + 1) / 2 = (6 + 1) / 2 = 3.5
Median = average of 3rd
and 4th
scores:
(19 + 18) / 2 = 18.5
12
When To Use the Median
The median is often used when the
distribution of scores is either positively or
negatively skewed
The few really large scores (positively skewed)
or really small scores (negatively skewed) will
not overly influence the median
13
The Mean
The mean is:
the arithmetic average of all the scores
(X)/N
the number, m, that makes (X - m) equal to 0
the number, m, that makes (X - m)2
a minimum
The mean of a population is represented by
the Greek letter ; the mean of a sample is
represented by X
14
Calculating the Mean
Calculate the mean of the following data:
1 5 4 3 2
Sum the scores (X):
1 + 5 + 4 + 3 + 2 = 15
Divide the sum (X = 15) by the number of
scores (N = 5):
15 / 5 = 3
Mean = X = 3
15
When To Use the Mean
You should use the mean when
the data are interval or ratio scaled
Many people will use the mean with ordinally scaled data
too
and the data are not skewed
The mean is preferred because it is sensitive to
every score
If you change one score in the data set, the mean
will change
16
Relations Between the Measures
of Central Tendency
In symmetrical
distributions, the median
and mean are equal
For normal distributions,
mean = median = mode
In positively skewed
distributions, the mean is
greater than the median
In negatively skewed
distributions, the mean is
smaller than the median

UNIT III -Measures of Central Tendency 2.ppt

  • 1.
  • 2.
    2 Measures of CentralTendency A measure of central tendency is a descriptive statistic that describes the average, or typical value of a set of scores There are three common measures of central tendency: the mode the median the mean
  • 3.
    3 The Mode The modeis the score that occurs most frequently in a set of data 0 1 2 3 4 5 6 75 80 85 90 95 Score on Exam 1 Frequency
  • 4.
    4 Bimodal Distributions When adistribution has two “modes,” it is called bimodal 0 1 2 3 4 5 6 75 80 85 90 95 Score on Exam 1 Frequency
  • 5.
    5 Multimodal Distributions If adistribution has more than 2 “modes,” it is called multimodal 0 1 2 3 4 5 6 75 80 85 90 95 Score on Exam 1 Frequency
  • 6.
    6 When To Usethe Mode The mode is not a very useful measure of central tendency It is insensitive to large changes in the data set That is, two data sets that are very different from each other can have the same mode 0 1 2 3 4 5 6 7 1 2 3 4 5 6 7 8 9 10 0 20 40 60 80 100 120 10 20 30 40 50 60 70 80 90 100
  • 7.
    7 When To Usethe Mode The mode is primarily used with nominally scaled data It is the only measure of central tendency that is appropriate for nominally scaled data
  • 8.
    8 The Median The medianis simply another name for the 50th percentile It is the score in the middle; half of the scores are larger than the median and half of the scores are smaller than the median
  • 9.
    9 How To Calculatethe Median Conceptually, it is easy to calculate the median There are many minor problems that can occur; it is best to let a computer do it Sort the data from highest to lowest Find the score in the middle middle = (N + 1) / 2 If N, the number of scores, is even the median is the average of the middle two scores
  • 10.
    10 Median Example What isthe median of the following scores: 10 8 14 15 7 3 3 8 12 10 9 Sort the scores: 15 14 12 10 10 9 8 8 7 3 3 Determine the middle score: middle = (N + 1) / 2 = (11 + 1) / 2 = 6 Middle score = median = 9
  • 11.
    11 Median Example What isthe median of the following scores: 24 18 19 42 16 12 Sort the scores: 42 24 19 18 16 12 Determine the middle score: middle = (N + 1) / 2 = (6 + 1) / 2 = 3.5 Median = average of 3rd and 4th scores: (19 + 18) / 2 = 18.5
  • 12.
    12 When To Usethe Median The median is often used when the distribution of scores is either positively or negatively skewed The few really large scores (positively skewed) or really small scores (negatively skewed) will not overly influence the median
  • 13.
    13 The Mean The meanis: the arithmetic average of all the scores (X)/N the number, m, that makes (X - m) equal to 0 the number, m, that makes (X - m)2 a minimum The mean of a population is represented by the Greek letter ; the mean of a sample is represented by X
  • 14.
    14 Calculating the Mean Calculatethe mean of the following data: 1 5 4 3 2 Sum the scores (X): 1 + 5 + 4 + 3 + 2 = 15 Divide the sum (X = 15) by the number of scores (N = 5): 15 / 5 = 3 Mean = X = 3
  • 15.
    15 When To Usethe Mean You should use the mean when the data are interval or ratio scaled Many people will use the mean with ordinally scaled data too and the data are not skewed The mean is preferred because it is sensitive to every score If you change one score in the data set, the mean will change
  • 16.
    16 Relations Between theMeasures of Central Tendency In symmetrical distributions, the median and mean are equal For normal distributions, mean = median = mode In positively skewed distributions, the mean is greater than the median In negatively skewed distributions, the mean is smaller than the median