Measure of Dispersion Exercise: 14.2
Exercise 14.2
1. What do you mean by skewness? How does it differ from dispersion? Describe the various measures of skewness.Solution:
Part-1:
Skewness is a measure of the asymmetry of a distribution.
$Skewness{\rm{ }} = {\rm{ }}\frac{{\left( {mean{\rm{ }} - {\rm{ }}mode} \right)}}{{standard{\rm{ }}deviation}}{\rm{ }}$
Part-2:
Dispersion is a measure of how spread out a distribution is, while skewness is a measure of the asymmetry of a distribution.
Dispersion is a measure of how spread out a distribution is, while skewness is a measure of the asymmetry of a distribution.
Part-3:
The various measures of skewness are:
Absolute measure of skewnwss
Relative Measure of Skewness
2. What are relative measures and absolute measure of skewness? Describe the positive and negative skewness with figures.
Solution:
Solution:
Part-1:
Absolute measure of skewnwss
(i) Karl Pearson’s measure of skewness = mean – mode or mean
– median
(ii) Bowley’s measure of skewness = Q3 + Q1 –
2Md
Relative Measure of skewness
(i) Karl Pearson’s coefficient of skewness
Sk(P) = (Mean – Mode)/S.D
Part-2:
Positive skewness: When Mean > Median > Mode
Negaive skewness: When Mean < Median < Mode.
iii) Median = 12.04 and Mean = 11.28
Solution:
Estimate whether the distribution are symmetrical or skewed.
i) Mode = 75 and mean = 78.6
Solution:
Here, Mean > Mode
So, it is positively skewed.
Solution:
Here, Mean = Median = Mode,
So, it is symmetrical distribution.
iii) Median = 12.04 and Mean = 11.28
Solution:
Here, Median > Mean,
So, it is negatively skewed.
4. a) For a group of 50 items; Sigma x 7 ^ 2 = underline 600, Sigma*x = 150 and M_{o} = 1.75; find Pearsonian
coefficient of skewness.
b) If*Sigma*fx =110, Sigma fx^ 2 =I650 , N = 10 and M_{o} = 12.45 find the skewness based on mean,
mode and standard deviation.
cf For a distribution, ifn =20, Sigma x=120, Sigma x^ 2 =94 xi and M_{d} = 7.5 , find the coefficient of skewness.
5.
overline a = a/1 a) A frequency distribution gives the following results -(p9)* 6/107 + 1007 = 1
i )C.V.=5\%
ii) s.d.= sigma = 2
iii) Karl Pearson's coefficient of skewness = 0.5.
Find the mean and the mode of the distribution.
G 2 ^ * = (Gt)/2 = |f_{1}|/2 * G
b) The median, mode and coefficient of skewness for Icertain distribution are respectively 17.4, 15.3 and 0.35. Calculate mean and the coefficient of variation. In a distribution, if sum of the difference of two quartiles is 25, their sum is 83 and median is 44. Find the coefficient of skewness.
In a certain distribution, if median = 45, mode = 39 and standard deviation I = 15 , find
the coefficient of variation and the coefficient of skewness.
6. Consider the following distribution:
Distribution A
Distribution B
Arithmetic mean:
100
90
90
Median:
Standard deviation:
400-10
80
10
a) Give as much information as you can from two distributions.
7.
b) Is the distribution A same as the distribution B regarding the degree of variation and skewness?
Calculate the coefficient of skewness based on mean, mode and the standard deviation from the following data: