Measures of Dispersion
Measures of Dispersion
Measures of Dispersion
VARIATION/VARIABILITY/VARIASI/
PENYIMPANGAN/PENYEBARAN/
DISPERSI
Oleh: Ia Kurnia
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MEASURES OF DISPERSION
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MEASURES OF DISPERSION
ILUSTRASI Here the means are identical but
variations in the performance of
two student are large. A is
definitely superior to B on the
Subject Marks of Student A Marks of Student B whole though B may have other
commendable characteristics.
Statistics 75 100 An average condenses into one
figure, all the characteristics of a
Marketing 80 55 given series. We have seen that in
this process certain information
English 72 98
about the series is concealed.
75 77 A measure of variation or
Taxes dispersion in any data shows the
72 65 extent to which numerical values
Computer
tend to spread about an average.
Accountancy 76 55 Different series may possess
different dispersions of items
TOTAL ?? ?? around the average. We may not
know this by merely looking at the
A.M ?? ?? averages, especially if they happen
to be identical
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MEASURES OF DISPERSION
A measure of dispersion gives an idea about the extent of lack of uniformity in the
sizes and qualities of the item in a series. It helps us to know the degree of
uniformity and consistency in the series.
If the difference between item is large the dispersion or variation is large and vice
versa. If the difference between items is small, the average represents and
describes the data adequately. For large difference it is proper to supplement
information by calculating a measure of dispersion in addition to an average.
It is useful to know the person in any data because its knowledge may serve:
(1) to compare the current result with the past results,
(2) to compare two or more sets of observation,
(3) to suggest methods to control variations in the data.
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MEASURES OF DISPERSION 4
Jenis
Absolute Variability Relatively Variability
The Range Relative Range
The Quartile Deviation Relative Quartile Deviation
The Mean Deviation Relative Mean Deviation
The Mean Difference Coefficient of Variation
The Standard Deviation Standard Score
Graphical Method
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STANDARD DEVIATION
Simpangan Baku
Deviasi Standar
Standar Deviasi
Simpangan Standar
It is the most important measures of dispersion. It is an improvement
over the mean deviation and free from the defects of other measures
of dispersion.
The standard deviation or the root-mean-square deviation is the square
root of the mean of the squared deviation from their mean of a set of
values.
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STANDARD DEVIATION
Ungrouped Data
s =
i
( x − x ) 2
s =
(x i − x )2
n n −1
Grouped Data
f (md − x )2
s =
f (md
i i − x )2 s = i
n −1
i
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COEFFICIENT OF VARIATION
Koefisien Variasi
Koefisien Penyebaran
Koefisien Standar Deviasi
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2
COEFFICIENT OF VARIATION
s
CV = x 100%
x
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STANDARD SCORE
Angka Baku
Skor Baku
Angka Standar
Z Skor
10
STANDARD SCORE 2
X − X
Z=
s
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