ISDS 2000 Chapter 3 Notes

# ISDS 2000 Chapter 3 Notes - c Chapter 3 Descriptive...

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c. Chapter 3: Descriptive Statistics: Numerical Measures Objectives: 1. Calculate and describe the characteristics of the measures of center. 2. Calculate and describe the characteristics of the measures of dispersion. 3. Describe data in terms of center, dispersion, and skewness. 4. Convert data to standardized values. 5. Describe data occurrences using Empirical Rule. 6. Be able to identify outlier. A. Introduction – We have looked at graphical representations and basic numeric descriptors (i.e.: minimum, maximum, range, mode) for numeric data. In this chapter, we will elaborate on more sophisticated ways of summarizing data using numeric indices.

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These numeric indices describe three major properties of numeric data : 1. Location (Center) 2. Dispersion (Variation or Spread) 3. Shape B. Measures of Location (Section 3.1) 1. Mean – average; value around which observations tend to cluster; balance point of histogram. a. Population mean ( μ ) μ = N X N i i = 1 b. Sample mean ( X ) X = n X n i i = 1 Example: Audit Data
c. The mean is susceptible to (influenced by) outliers. 2.

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## This note was uploaded on 01/28/2011 for the course ISDS 2000 taught by Professor Nunnery during the Spring '08 term at LSU.

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ISDS 2000 Chapter 3 Notes - c Chapter 3 Descriptive...

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