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Basic Business Statistics

A Casebook

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

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 Springer Book Archive
  • Print ISBN 978-0-387-98354-7
  • Online ISBN 978-1-4612-1696-4
  • Buy this book on publisher's site