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# Basic Business Statistics

## A Casebook

• Dean P. Foster
• Robert A. Stine
• Richard P. Waterman
Textbook

## Table of contents

1. Front Matter
Pages i-xvi
2. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 1-4
3. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 5-39
4. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 41-63
5. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 65-92
6. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 93-106
7. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 107-126
8. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 127-153
9. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 155-168
10. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 169-184
11. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 185-212
12. Dean P. Foster, Robert A. Stine, Richard P. Waterman
Pages 213-226
13. Back Matter
Pages 227-244

## About this book

### Introduction

Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation of being a boring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Business Analysis Using Regression) was to change that impression by showing how statistics yields insights and answers interesting business questions. Rather than dwell on underlying formulas, we show how to use statistics to answer questions. Each case study begins with a business question and concludes with an answer to that question. Formulas appear only as needed to address the questions, and we focus on the insights into the problem provided by the mathematics. The mathematics serves a purpose. The material in this casebook is organized into 11 "classes" of related case studies that develop a single, key idea of statistics. The analysis of data using statistics is seldom very straightforward, and each analysis has many nuances. Part of the appeal of statistics is this richness, this blending of substantive theories and mathematics. For newcomers, however, this blend is too rich, and they are easily overwhelmed and unable to sort out the important ideas from nuances. Although later cases in these notes suggest this complexity, we do not begin that way.

### Keywords

Internet Logistic Regression Minitab Sage Variance calculus correlation data analysis production statistics

#### Authors and affiliations

• Dean P. Foster
• 1
• Robert A. Stine
• 1
• Richard P. Waterman
• 1
1. 1.Department of Statistics Wharton SchoolUniversity of PennsylvaniaPhiladelphiaUSA

### Bibliographic information

• DOI https://doi.org/10.1007/978-1-4612-1696-4
• Copyright Information Springer-Verlag New York, Inc. 1998
• Publisher Name Springer, New York, NY
• eBook Packages
• Print ISBN 978-0-387-98354-7
• Online ISBN 978-1-4612-1696-4
• Buy this book on publisher's site
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