Chapter 5

Skewness, Moments, and Kurtosis

LEARNING OBJECTIVES

After studying this chapter, you should be able to

  • know the complementary relationship of skewness with measures of central tendency and dispersion in describing a set of data.

  • understand ‘moments’ as a convenient and unifying method for summarizing several descriptive statistical measures.

While an individual is an insolvable puzzle, in an aggregate he becomes a mathematical certainty. You can, for example, never foretell what any one man will do, but you can say with precision what an average number will be up to.

—Arthur Conan Doyle

5.1 INTRODUCTION

In Chapter 4 we discussed measures of variation (or disperson) to describe the spread of individual values in a data set around ...

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