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Presentation On
Concept of Skewness:
Bowley’s Method
Presented by:
Ashutosh Sahu
MBA 1st Semester
OVERVIEW
 Introduction: Skewness
 Symmetric Distribution
 Two types of skewness
 Measure of Skewness: Bowley’s Method
 Illustration
 Verification
 Conclusion
Department Of Master of Business Administration
Department Of Master of Business Administration
INTRODUCTION: SKEWNESS
Measure of lack of symmetry
Absence of symmetry
Extreme values in either side of a distribution
If the two sides do not coincide, distribution is said to be
asymmetric
A distribution that is asymmetric with respect to a
vertical axis is said to be skewed.
Department Of Master of Business Administration
SYMMETRIC DISTRIBUTION
Department Of Master of Business Administration
A distribution is symmetric if it can be folded along the
vertical axis so that the two side coincide
If the distribution is symmetric, the mean, the median, and
the mode are equal and are located at the same position along
the horizontal axis FIGURE 1a. Example of a Symmetric
Distribution
0
5
10
15
20
25
1 2 3 4 5 6 7 8 9
mean = median = mode
No.ofProvinces
TWO TYPES OF SKEWNESS
Positively Skewed or Skewed to the Right
Distribution
 Distribution tapers more to the right than to the
left
 Has a longer tail to the right compared to a much
shorter left tail
 Values are more concentrated below than above the
mean
Department Of Master of Business Administration
CONTINUED....
Department Of Master of Business Administration
FIGURE 1b. Example of a Skewed to the Right
Distribution
0
5
10
15
20
25
30
35
1 2 3 4 5 6 7 8 9
Mode < Median < Mean
NumberofProvinces
CONTINUED....
Negatively Skewed or Skewed to the Left
Distribution
Distribution tapers more to the left than to the right
Has longer tail to the left compared to a much
shorter right tail
Values are more concentrated above than below the
mean
Department Of Master of Business Administration
CONTINUED....
Department Of Master of Business Administration
FIGURE 1c. Example of a Skewed to the Left
Distribution
0
5
10
15
20
25
30
35
1 2 3 4 5 6 7 8 9
mean < median < mode
NumberofProvinces
MEASURE OF SKEWNESS: BOWLEY’S
METHOD
Shows the degree of asymmetry, or departure from
symmetry of a distribution
Indicates also the direction of the distribution
 Bowley Skewness = (Q3 +Q1 – 2Md)/ (Q3 – Q1)
 Skewness = 0 means that the curve is symmetrical.
 Skewness > 0 means the curve is positively skewed.
 Skewness < 0 means the curve is negatively skewed.
 Result range: -1< SkB <1
Department Of Master of Business Administration
ILLUSTRATION
 Find Bowley’s Coefficient of Skewness for the following
frequency distribution:
Department Of Master of Business Administration
SOLUTION
Department Of Master of Business Administration
Solution: Calculation of Bowley’s Coefficient of Skewness
CONTINUED…..
Department Of Master of Business Administration
SkB = Q3 + Q1 – 2 Med. /Q3 – Q1
Q1 = Size of [(N +1)/4]th item = [(95 + 1)/4] = 24th item,
hence Q1 = 2
Q3 = Size of 3[(N + 1)/4]th item = 3 × 96/4 = 72th item
Size of 72th item is 4, hence Q3 = 4
Med. = Size of [(N + 1)/2]th item = 96/2 = 48th item.
Size of 48th item is 3. Hence median = 3
SkB = [4 + 2 – 2 (3)]/(4 – 2) = 0/2 = 0.
Skewness = 0 means that the curve is symmetrical
VERIFICATION
Department Of Mechanical Engineering
0
5
10
15
20
25
30
Number Of children per family X
0
1
2
3
4
5
6
Numberoffamilies
CONCLUSION
 Skewness: Measure of lack of symmetry
 The Bowley’s method to measure the skewness is actually
a test to check, whether given distribution is in symmetry
or not.
 Conditions are:
 Skewness = 0 means that the curve is symmetrical.
 Skewness > 0 means the curve is positively skewed.
 Skewness < 0 means the curve is negatively skewed.
 Result range: -1< SkB <1
Department Of Master of Business Administration
Concept of Skewness: Bowley's method

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Concept of Skewness: Bowley's method

  • 1. Presentation On Concept of Skewness: Bowley’s Method Presented by: Ashutosh Sahu MBA 1st Semester
  • 2. OVERVIEW  Introduction: Skewness  Symmetric Distribution  Two types of skewness  Measure of Skewness: Bowley’s Method  Illustration  Verification  Conclusion Department Of Master of Business Administration Department Of Master of Business Administration
  • 3. INTRODUCTION: SKEWNESS Measure of lack of symmetry Absence of symmetry Extreme values in either side of a distribution If the two sides do not coincide, distribution is said to be asymmetric A distribution that is asymmetric with respect to a vertical axis is said to be skewed. Department Of Master of Business Administration
  • 4. SYMMETRIC DISTRIBUTION Department Of Master of Business Administration A distribution is symmetric if it can be folded along the vertical axis so that the two side coincide If the distribution is symmetric, the mean, the median, and the mode are equal and are located at the same position along the horizontal axis FIGURE 1a. Example of a Symmetric Distribution 0 5 10 15 20 25 1 2 3 4 5 6 7 8 9 mean = median = mode No.ofProvinces
  • 5. TWO TYPES OF SKEWNESS Positively Skewed or Skewed to the Right Distribution  Distribution tapers more to the right than to the left  Has a longer tail to the right compared to a much shorter left tail  Values are more concentrated below than above the mean Department Of Master of Business Administration
  • 6. CONTINUED.... Department Of Master of Business Administration FIGURE 1b. Example of a Skewed to the Right Distribution 0 5 10 15 20 25 30 35 1 2 3 4 5 6 7 8 9 Mode < Median < Mean NumberofProvinces
  • 7. CONTINUED.... Negatively Skewed or Skewed to the Left Distribution Distribution tapers more to the left than to the right Has longer tail to the left compared to a much shorter right tail Values are more concentrated above than below the mean Department Of Master of Business Administration
  • 8. CONTINUED.... Department Of Master of Business Administration FIGURE 1c. Example of a Skewed to the Left Distribution 0 5 10 15 20 25 30 35 1 2 3 4 5 6 7 8 9 mean < median < mode NumberofProvinces
  • 9. MEASURE OF SKEWNESS: BOWLEY’S METHOD Shows the degree of asymmetry, or departure from symmetry of a distribution Indicates also the direction of the distribution  Bowley Skewness = (Q3 +Q1 – 2Md)/ (Q3 – Q1)  Skewness = 0 means that the curve is symmetrical.  Skewness > 0 means the curve is positively skewed.  Skewness < 0 means the curve is negatively skewed.  Result range: -1< SkB <1 Department Of Master of Business Administration
  • 10. ILLUSTRATION  Find Bowley’s Coefficient of Skewness for the following frequency distribution: Department Of Master of Business Administration
  • 11. SOLUTION Department Of Master of Business Administration Solution: Calculation of Bowley’s Coefficient of Skewness
  • 12. CONTINUED….. Department Of Master of Business Administration SkB = Q3 + Q1 – 2 Med. /Q3 – Q1 Q1 = Size of [(N +1)/4]th item = [(95 + 1)/4] = 24th item, hence Q1 = 2 Q3 = Size of 3[(N + 1)/4]th item = 3 × 96/4 = 72th item Size of 72th item is 4, hence Q3 = 4 Med. = Size of [(N + 1)/2]th item = 96/2 = 48th item. Size of 48th item is 3. Hence median = 3 SkB = [4 + 2 – 2 (3)]/(4 – 2) = 0/2 = 0. Skewness = 0 means that the curve is symmetrical
  • 13. VERIFICATION Department Of Mechanical Engineering 0 5 10 15 20 25 30 Number Of children per family X 0 1 2 3 4 5 6 Numberoffamilies
  • 14. CONCLUSION  Skewness: Measure of lack of symmetry  The Bowley’s method to measure the skewness is actually a test to check, whether given distribution is in symmetry or not.  Conditions are:  Skewness = 0 means that the curve is symmetrical.  Skewness > 0 means the curve is positively skewed.  Skewness < 0 means the curve is negatively skewed.  Result range: -1< SkB <1 Department Of Master of Business Administration