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Practical Business Statistics,

Edition 7

Editors: By Andrew F. Siegel

Publication Date: 16 Aug 2016

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Practical Business Statistics, Seventh Edition, provides a conceptual, realistic, and matter-of-fact approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book provides deep understanding of how to learn from data and how to deal with uncertainty while promoting the use of practical computer applications. This valuable, accessible approach teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results.

The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.

Key Features

Provides users with a conceptual, realistic, and matter-of-fact approach to managerial statistics
Offers an accessible approach to teach present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand concepts and to interpret results
Features updated examples and graphics (200+ figures) to illustrate important applied uses and current business trends
Includes robust ancillary instructional materials such as an instructor’s manual, lecture slides, and data files to save you time when preparing for class

About the author

By Andrew F. Siegel, Professor of Information Systems and Operations Management, Professor of Finance and Business Economics, and Adjunct Professor of Statistics, Foster School of Business, University of Washington, Seattle, WA, USA

Dedication

Preface

Examples
Statistical Graphics
Extensive Development: Reviews and Class Testing
Writing Style
Cases
Organization
PowerPoint Slides
Companion Website
Instructor’s Manual
Acknowledgments
To the Student

About the Author

Part I: Introduction and Descriptive Statistics

Introduction
Chapter 1: Introduction: Defining the Role of Statistics in Business
- Abstract
- 1.1 Why Statistics?
- 1.2 What is Statistics?
- 1.3 The Five Basic Activities of Statistics
- 1.4 Data Mining and Big Data
- 1.5 What is Probability?
- 1.6 General Advice
- 1.7 End-of-Chapter Materials
Chapter 2: Data Structures: Classifying the Various Types of Data Sets
- Abstract
- 2.1 How Many Variables?
- 2.2 Quantitative Data: Numbers
- 2.3 Qualitative Data: Categories
- 2.4 Time-Series and Cross-Sectional Data
- 2.5 Sources of Data, Including the Internet
- 2.6 End-of-Chapter Materials
Chapter 3: Histograms: Looking at the Distribution of Data
- Abstract
- 3.1 A List of Data
- 3.2 Using a Histogram to Display the Frequencies
- 3.3 Normal Distributions
- 3.4 Skewed Distributions and Data Transformation
- 3.5 Bimodal Distributions With Two Groups
- 3.6 Outliers
- 3.7 Data Mining With Histograms
- 3.8 End-of-Chapter Materials
Chapter 4: Landmark Summaries: Interpreting Typical Values and Percentiles
- Abstract
- 4.1 What is The Most Typical Value?
- 4.2 What Percentile is it?
- 4.3 End-of-Chapter Materials
Chapter 5: Variability: Dealing with Diversity
- Abstract
- 5.1 The Standard Deviation: The Traditional Choice
- 5.2 The Range: Quick and Superficial
- 5.3 The Coefficient of Variation: A Relative Variability Measure
- 5.4 Effects of Adding to or Rescaling the Data
- 5.5 End-of-Chapter Materials

Part II: Probability

Introduction
Chapter 6: Probability: Understanding Random Situations
- Abstract
- 6.1 An Example: is it Behind Door Number 1, Door Number 2, or Door Number 3?
- 6.2 How Can You Analyze Uncertainty?
- 6.3 How Likely is An Event?
- 6.4 How Can You Combine Information About More Than One Event?
- 6.5 What is the Best Way to Solve Probability Problems?
- 6.6 End-of-Chapter Materials
Chapter 7: Random Variables: Working with Uncertain Numbers
- Abstract
- 7.1 Discrete Random Variables
- 7.2 The Binomial Distribution
- 7.3 The Normal Distribution
- 7.4 The Normal Approximation to the Binomial
- 7.5 Two Other Distributions: The Poisson and The Exponential
- 7.6 End-of-Chapter Materials

Part III: Statistical Inference

Introduction
Chapter 8: Random Sampling: Planning Ahead for Data Gathering
- Abstract
- 8.1 Populations and Samples
- 8.2 The Random Sample
- 8.3 The Sampling Distribution and the Central Limit Theorem
- 8.4 A Standard Error is an Estimated Standard Deviation
- 8.5 Other Sampling Methods
- 8.6 End-of-Chapter Materials
Chapter 9: Confidence Intervals: Admitting That Estimates Are Not Exact
- Abstract
- 9.1 The Confidence Interval for a Population Mean or a Population Percentage
- 9.2 Assumptions Needed for Validity
- 9.3 Interpreting a Confidence Interval
- 9.4 One-Sided Confidence Intervals
- 9.5 Prediction Intervals
- 9.6 End-of-Chapter Materials
Chapter 10: Hypothesis Testing: Deciding Between Reality and Coincidence
- Abstract
- 10.1 Hypotheses Are Not Created Equal!
- 10.2 Testing the Population Mean Against a Known Reference Value: The t-Test
- 10.3 Interpreting a Hypothesis Test
- 10.4 One-Sided Testing
- 10.5 Testing Whether or not a New Observation Comes From the Same Population
- 10.6 Testing Two Samples
- 10.7 End-of-Chapter Materials

Part IV: Regression and Time Series

Introduction
Chapter 11: Correlation and Regression: Measuring and Predicting Relationships
- Abstract
- 11.1 Exploring Relationships Using Scatterplots and Correlations
- 11.2 Regression: Prediction of One Variable From Another
- 11.3 End-of-Chapter Materials
Chapter 12: Multiple Regression: Predicting One Variable From Several Others
- Abstract
- 12.1 Interpreting the Results of a Multiple Regression
- 12.2 Pitfalls and Problems in Multiple Regression
- 12.3 Dealing With Nonlinear Relationships and Unequal Variability
- 12.4 Indicator Variables: Predicting From Categories
- 12.5 End-of-Chapter Materials
Chapter 13: Report Writing: Communicating the Results of a Multiple Regression
- Abstract
- 13.1 How to Organize Your Report
- 13.2 Hints and Tips
- 13.3 Example: A Quick Pricing Formula for Customer Inquiries
- 13.4 End-of-Chapter Materials
Chapter 14: Time Series: Understanding Changes Over Time
- Abstract
- 14.1 An Overview of Time-Series Analysis
- 14.2 Trend-Seasonal Analysis
- 14.3 Modeling Cyclic Behavior Using Box-Jenkins ARIMA Processes
- 14.4 End-of-Chapter Materials

Part V: Methods and Applications

Introduction
Chapter 15: ANOVA: Testing for Differences Among Many Samples and Much More
- Abstract
- 15.1 Using Box Plots to Look at Many Samples at Once
- 15.2 The F Test Tells You If the Averages are Significantly Different
- 15.3 The Least-Significant-Difference Test: Which Pairs are Different?
- 15.4 More Advanced ANOVA Designs
- 15.5 End-of-Chapter Materials
Chapter 16: Nonparametrics: Testing with Ordinal Data or Nonnormal Distributions
- Abstract
- 16.1 Testing the Median Against a Known Reference Value
- 16.2 Testing for Differences in Paired Data
- 16.3 Testing to See if Two Unpaired Samples are Significantly Different
- 16.4 End-of-Chapter Materials
Chapter 17: Chi-Squared Analysis: Testing for Patterns in Qualitative Data
- Abstract
- 17.1 Summarizing Qualitative Data by Using Counts and Percentages
- 17.2 Testing if Population Percentages are Equal to Known Reference Values
- 17.3 Testing for Association Between Two Qualitative Variables
- 17.4 End-of-Chapter Materials
Chapter 18: Quality Control: Recognizing and Managing Variation
- Abstract
- 18.1 Processes and Causes of Variation
- 18.2 Control Charts and How to Read Them
- 18.3 Charting a Quantitative Measurement with X¯ and R Charts

Appendix A: Employee Database

Appendix B: Donations Database

Appendix C: Self-Test: Solutions to Selected Problems and Database Exercises

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 10

Chapter 11

Chapter 12

Chapter 13

Chapter 14

Chapter 15

Chapter 16

Chapter 17

Chapter 18

Appendix D: Statistical Tables

Table D.5 R² Table: Level 5% Critical Values (Significant)

Glossary

Index

ISBN: 9780128042502

Page Count: 642

Retail Price (USD) :

Ross, Introductory Statistics, 3rd edition, Feb 2010, 9780123743886, $109.95
Smith, Essential Statistics, Regression, and Econometrics, 2nd edition, Jun 2015, 9780128034590, $110.00

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