Page 1 Presentation On Concept of Skewness: Bowley’s Method Page 2 Presentation On Concept of Skewness: Bowley’s Method OVERVIEW ? Introduction: Skewness ? Symmetric Distribution ? Two types of skewness ? Measure of Skewness: Bo w ley ’ s Method ? Illustration ? Verification ? Conclusion Department Of Master of Business Administration Department Of Master of Business Administration Page 3 Presentation On Concept of Skewness: Bowley’s Method OVERVIEW ? Introduction: Skewness ? Symmetric Distribution ? Two types of skewness ? Measure of Skewness: Bo w ley ’ 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 Page 4 Presentation On Concept of Skewness: Bowley’s Method OVERVIEW ? Introduction: Skewness ? Symmetric Distribution ? Two types of skewness ? Measure of Skewness: Bo w ley ’ 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. of Provinces Page 5 Presentation On Concept of Skewness: Bowley’s Method OVERVIEW ? Introduction: Skewness ? Symmetric Distribution ? Two types of skewness ? Measure of Skewness: Bo w ley ’ 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. of Provinces 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 AdministrationRead More

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