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Business Statistics: For Contemporary Decision Making, 7th Edition

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Table of Contents

UNIT II: DISTRIBUTIONS AND SAMPLING

UNIT III: MAKING INFERENCES ABOUT POPULATION PARAMETERS

UNIT IV: REGRESSION ANALYSIS AND FORECASTING

UNIT V: NONPARAMETRIC STATISTICS AND QUALITY

CHAPTER 16: Analysis of Categorical Data

Selecting Suppliers in the Electronics Industry

16.1 CHI-SQUARE GOODNESS-OF-FIT TEST

16.2 CONTINGENCY ANALYSIS: CHI-SQUARE TEST OF INDEPENDENCE

SUMMARY

KEY TERMS

FORMULAS

SUPPLEMENTARY PROBLEMS

ANALYZING THE DATABASE

CASE: FOOT LOCKER IN THE SHOE MIX

USING THE COMPUTER

CHAPTER 17: Nonparametric Statistics

CHAPTER 18: Statistical Quality Control

APPENDIX A: Tables

APPENDIX B: Answers to Selected Odd-Numbered Quantitative Problems

GLOSSARY

INDEX

CHAPTER 19: Decision Analysis

SUPPLEMENT 1: SUMMATION NOTATION

SUPPLEMENT 2: DERIVATION OF SIMPLE REGRESSION FORMULAS FOR SLOPE AND Y INTERCEPT

SUPPLEMENT 3: ADVANCED EXPONENTIAL SMOOTHING

CHAPTER 16 Analysis of Categorical Data

LEARNING OBJECTIVES

The overall objective of this chapter is to give you an understanding of two statistical techniques used to analyze categorical data, thereby enabling you to:

Use the chi-square goodness-of-fit test to analyze probabilities of multinomial distribution trials along a single dimension and test a population proportion.
Use the chi-square test of independence to perform contingency analysis.

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Contents

UNIT V: NONPARAMETRIC STATISTICS AND QUA... > CHAPTER 16: Analysis of Categorical ...

CHAPTER 16

Analysis of Categorical Data