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8/13/2019 09 Measures of Variability
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Measures of
Variability
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Sets of grades in Statistics of two sections
Wisdom Faith
Mark: 82 Hero: 70
Jennylyn: 80 Sandara: 95
Rainier: 83 Joross: 60
Yasmien: 81 Roxanne: 80
Nadine: 79 Melissa: 100
Mean: 81 Mean: 81
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Measures of Variability or Dispersion
are measures of the average distance of eachobservation from the center of the distribution
they measure the homogeneity or heterogeneity
of a particular groupSeveral Measures of Variability or Dispersion
Range
Mean Absolute Deviation
Variance
Standard Deviation
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Measures of
Variability forUngrouped Data
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Range
is the difference between the highest andlowest values
the simplest but the most unreliable measureof variability since it uses only two values in
the distribution
vv L H R
Where: R = rangeHv = highest value
Lv = lowest value
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Mean Absolute Deviation
is the average of the summation of theabsolute deviation of each observation fromthe mean
N
X X MAD
Where: X = is a value or score from the raw data= is the mean
N = total number of observationX
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Variance
is the average of the squared deviation fromthe mean
Where: X = is a value or score from the raw data= is the mean
N = total number of observationX
N
X X
2
2
1
2
2
N
X X s
Population Variance:
Sample Variance:
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Standard Deviation
is the square root of the average deviationfrom the mean, or simply the square root ofvariance
Where: X = is a value or score from the raw data= is the mean
N = total number of observationX
N
X X
2
1
2
N
X X s
Population Standard
Deviation: Sample StandardDeviation:
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Coefficient of Variation
is the ratio of the standard deviation to themean
Where: cv = coefficient of variation= is the mean
s = standard deviationX
it is used to compare the variability of two ormore sets of data even when they are
expressed in different unit of measurement
X
s cv
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Measures of
Variability forGrouped Data
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Range
LLULR
Where: R = rangeUL = upper limit (highest class)LL = lower limit (lowest class)
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Mean Absolute Deviation
Where: X = is the class mark= is the mean
N = total number of observationf = frequency
X
N
X X f MAD
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Variance
Population Variance:
Sample Variance:
N
X X f 2
2
1
2
2
N
X X f s
Where: X = is the class mark= is the meanN = total number of observationf = frequency
X
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Standard Deviation
Population StandardDeviation:
Sample StandardDeviation:
Where: X = is the class mark= is the meanN = total number of observationf = frequency
X
N
X X f
2
1
2
N
X X f s
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TABLE I
Score Distribution of Students in Literature Quiz
CI f CBLCB UCB
Class Mark(x)