14. MEASURES OF DISPERSION
Dr
Abdul
Ghafoor
Sajjad
14
Dispersion is the state of getting dispersed or spread.
Statistical dispersion means the extent to
which a numerical data is likely to vary
about an average value. In other words,
dispersion helps to understand the
distribution of the data.
17. TYPES OF DISPERSION
There are two main types of dispersion
methods in statistics which are:
1. Absolute Measure of Dispersion
2. Relative Measure of Dispersion
Dr
Abdul
Ghafoor
Sajjad
17
19. TYPES OF DISPERSION
Absolute Measure of Dispersion
1. An absolute measure of dispersion
contains the same unit as the original
data set.
2. Absolute dispersion method expresses
the variations in terms of the average of
deviations of observations like standard
or means deviations.
3. It includes range, quartile deviation,
Mean Deviation and Standard Deviation.
Dr
Abdul
Ghafoor
Sajjad
19
22. TYPES OF DISPERSION
Relative Measure of Dispersion
The relative measures of dispersion are used to
compare the distribution of two or more data
sets. This measure compares values without
units. Common relative dispersion methods
include:
1. Co-efficient of Range/Dispersion
2. Co-efficient of Quartile Deviation
3. Co-efficient of Mean Deviation
4. Co-efficient of Standard Deviation
Dr
Abdul
Ghafoor
Sajjad
22
29. S. NO
Lumbar
Spine ROM
Extension
(1st Visit)
Lumbar
Spine ROM
Extension
(4th Visit)
Lumbar
Spine ROM
Extension
(8th Visit)
1 10 15 18
2 20 22 25
3 10 12 15
4 20 25 28
5 20 22 25
6 10 10 15
7 10 10 15
8 5 5 12
9 15 10 17
10 10 12 18
Calculatethe
Rangeof
ExtensionROM
ofeveryvisit
Dr
Abdul
Ghafoor
Sajjad
29
30. TYPES OFDISPERSION
Co-efficient of Range/Dispersion
TYPES OF DISPERSION
Absolute
Range
Quartile Range
Mean/Average
Deviation
Standard
Deviation
Relative
Co-efficient of
dispersion
Co-efficient of
Quartile
Deviatione
Co-efficient of
Mean/Average
Deviation
Co-efficient of
Standard
Deviation
Dr
Abdul
Ghafoor
Sajjad
30
35. MEASURESOF DISPERSION
QUARTILEDEVIATION
• The quartile deviation is half of the
distance between the third and the first
quartile.
• Also Called Semi Interquartile Range
(SIQR)
• The quartile deviation has an attractive
feature that the range “Median ± Q.D”
• Median ± Q.D contains approximately 50%
of the data
Dr
Abdul
Ghafoor
Sajjad
35
41. TYPES OFDISPERSION
Co-efficient of Quartile Deviation
TYPES OF DISPERSION
Absolute
Range
Quartile Range
Mean/Average
Deviation
Standard
Deviation
Relative
Co-efficient of
dispersion
Co-efficient of
Quartile Range
Co-efficient of
Mean/Average
Deviation
Co-efficient of
Standard
Deviation
Dr
Abdul
Ghafoor
Sajjad
41
48. MEASURESOF DISPERSION
MEAN DEVIATION
The arithmetic mean of the absolute
deviations of the observations from a
measure of central tendency is known as
the mean deviation (also called mean
absolute deviation).
Dr
Abdul
Ghafoor
Sajjad
48
58. MEASURESOF DISPERSION
MEAN DEVIATION( From Group Data )
Marks 30-39 40-49 50-59 60-69 70-79 80-89 90-99
No of Students 8 87 190 304 211 85 20
Dr
Abdul
Ghafoor
Sajjad
58
59. MEASURESOF DISPERSION
MEAN DEVIATION( From Group Data )
S. No Marks xi
Frequency
(No of
Students)
fixi
1 30-39 34.5 8 276
2 40-49 44.5 87 3871.5
3 50-59 55.5 190 10545
4 60-69 66.5 304 20216
5 70-79 77.5 211 16352.5
6 80-89 88.5 85 7522.5
7 90-99 99.5 20 1990
∑905 ∑60773.5
Dr
Abdul
Ghafoor
Sajjad
59
60. MEASURESOF DISPERSION
MEAN DEVIATION( From Group Data )
S.
No
Marks xi
Freque
ncy
(No of
Student
s)
fixi
1 30-39 34.5 8 276
2 40-49 44.5 87 3871.5
3 50-59 55.5 190 10545
4 60-69 66.5 304 20216
5 70-79 77.5 211 16352.5
6 80-89 88.5 85 7522.5
7 90-99 99.5 20 1990
∑905
∑60773.
5
Mean = ∑fixi
n
Mean = 60773.5/905
Mean = 61.15
Dr
Abdul
Ghafoor
Sajjad
60
61. MEASURESOF DISPERSION
MEAN DEVIATION( From Group Data )
S. No Marks xi
Frequency
(No of
Students)
fixi Xi - x̄ F[Xi - x̄]
1 30-39 34.5 8 276 - 25.65 205.2
2 40-49 44.5 87 3871.5 - 16.65 1448.55
3 50-59 55.5 190 10545 - 5.65 1056.4
4 60-69 66.5 304 20216 5.35 1626.4
5 70-79 77.5 211 16352.5 16.35 3449.85
6 80-89 88.5 85 7522.5 27.35 2324.75
7 90-99 99.5 20 1990 38.35 767
∑905 ∑60773.5 ∑10878.15
Dr
Abdul
Ghafoor
Sajjad
61
62. MEASURESOF DISPERSION
MEAN DEVIATION( From Group Data )
S.
No
Marks xi
Freque
ncy
(No of
Studen
ts)
fixi Xi - x̄
F[Xi -
x̄]
1 30-39 34.5 8 276 - 25.65 205.2
2 40-49 44.5 87 3871.5 - 16.65
1448.5
5
3 50-59 55.5 190 10545 - 5.65 1056.4
4 60-69 66.5 304 20216 5.35 1626.4
5 70-79 77.5 211
16352.
5
16.35
3449.8
5
6 80-89 88.5 85 7522.5 27.35
2324.7
5
7 90-99 99.5 20 1990 38.35 767
∑905
∑60773
.5
∑10878
.15
M.D = ∑ 10878.15
905
M.D = 12.02
Dr
Abdul
Ghafoor
Sajjad
62
64. TYPES OFDISPERSION
Co-efficient of Mean Deviation
TYPES OF DISPERSION
Absolute
Range
Quartile Range
Mean/Average
Deviation
Standard
Deviation
Relative
Co-efficient of
dispersion
Co-efficient of
Quartile Range
Co-efficient of
Mean/Average
Deviation
Co-efficient of
Standard
Deviation
Dr
Abdul
Ghafoor
Sajjad
64
70. MEASURESOF DISPERSION
VARIENCE
Deduct the mean from each data in the
set then squaring each of them and
adding each square and finally dividing
them by the total no of values in the
data set is the variance.
Dr
Abdul
Ghafoor
Sajjad
70
78. MEASURESOF DISPERSION
STANDARDDEVIATION
• The standard deviation can never be a negative number,
due to the way it’s calculated and the fact that it
measures a distance (distances are never negative
numbers).
• The smallest possible value for the standard deviation is
0, and that happens only in contrived situations where
every single number in the data set is exactly the same
(no deviation).
• The standard deviation is affected by outliers (extremely
low or extremely high numbers in the data set). That’s
because the standard deviation is based on the
distance from the mean. And remember, the mean is
also affected by outliers.
• The standard deviation has the same units as the original
data.
Dr
Abdul
Ghafoor
Sajjad
78
88. TYPES OFDISPERSION
Co-efficient of Standard Deviation
TYPES OF DISPERSION
Absolute
Range
Quartile Range
Mean/Average
Deviation
Standard
Deviation
Relative
Co-efficient of
dispersion
Co-efficient of
Quartile Range
Co-efficient of
Mean/Average
Deviation
Co-efficient of
Standard
Deviation
Dr
Abdul
Ghafoor
Sajjad
88
90. MEASURESOFDISPERSION
INTERPRETATIONOFSTANDARD DEVIATION
• More precisely, it is a measure of the
average distance between the values of
the data in the set and the mean. A low
standard deviation indicates that the data
points tend to be very close to the mean; a
high standard deviation indicates that the
data points are spread out over a large
range of values.
Dr
Abdul
Ghafoor
Sajjad
90