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The Practice of Statistics for Business and Economics (5th Edition)

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02 March 2020

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Part of the best-selling David Moore introductory statistics textbook family, The Practice of Statistics for Business and Economics uses a similar, accessible approach found in The Basic Practice of Statistics but applies to...

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Part of the best-selling David Moore introductory statistics textbook family, The Practice of Statistics for Business and Economics uses a similar, accessible approach found in The Basic Practice of Statistics but applies to the world of business and economics.

With The Practice of Statistics for Business and Economics, instructors can help students develop a working knowledge of data production and interpretation in a business and economics context, giving them the practical tools they need to make data-informed, real-world business and economic decisions from the first day of class.

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PSBE examines the nature of modern statistical practice at a level suitable for beginners. Focus not only on the analysis of data and the traditional topics of probability and inference but also on the sources and production of data.

PSBE uses real examples and exercises from business and economics to illustrate and enforce key ideas. Students learn the technique of leastsquares regression and how to interpret the regression slope. But they also learn the conceptual ties between regression and correlation, the importance of looking for influential observations.

PSBE is aware of current developments both in statistical science and in teaching statistics. Brief optional "Beyond the Basics" sections give quick overviews of topics such as density estimation, the bootstrap, big data, relative risk, regression trees, and meta-analysis.

Learning objectives. At the beginning of each section in every chapter, learning objectives are designed to give an overview of what the students are expected to be able to do when they complete their study of the section. Students are not only expected to learn basic concepts; they are expected to acquire the skills needed to apply these concepts in realistic situations.

Increased emphasis on software. Software displays have been updated and are given additional prominence. Carefully selected instances of output can be switched to match whatever software the student is using when working in our SaplingPlus e-book. In addition, video links are supplied at various places in each chapter so students can see how specific analyses are performed using Excel, JMP, Minitab, and R.

Exercises and examples. Over 60% of the exercises and examples are

new or revised! The business or economics relevance of the exercises are clearer than ever for students.

Examining distributions. Similarities and differences in methods for

categorical data and quantitative data given additional emphasis, and

concerns of reviewers on particular issues have been addressed (Chapter 1).

Examining relationships. Material in the Introduction and the first

section of Chapter 2 have been reorganized and a brief treatment of

covariance has been added.

CHAPTER 1 Examining Distributions

CHAPTER 2 Examining Relationships

CHAPTER 3 Producing Data

CHAPTER 4 Probability: The Study of Randomness

CHAPTER 5 Random Variables and Probability Distributions

CHAPTER 6 Sampling Distributions

CHAPTER 7 Introduction to Inference

CHAPTER 8 Inference for Means

CHAPTER 9 One-Way Analysis of Variance

CHAPTER 10 Inference for Proportions

CHAPTER 11 Inference for Categorical Data

CHAPTER 12 Inference for Regression

CHAPTER 13 Multiple Regression

CHAPTER 14 Time Series Forecasting


The Core book includes Chapters 1 – 14 . Chapters 15 – 18 are

individual optional Companion Chapters and can be found at

www.macmillanlearning.com/psbe5e .


CHAPTER 15 Statistics for Quality: Control and Capability

CHAPTER 16 Two-Way Analysis of Variance

CHAPTER 17 Nonparametric Tests

CHAPTER 18 Logistic Regression

Newpractice and assignment problems to every chapter covering all major concepts and skills in SaplingPlus.

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David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation. He is the author of influential articles on statistics education and of several leading texts.

George P. McCabe is the Associate Dean for Academic Affairs in the College of Science and a Professor of Statistics at Purdue University. Professor McCabe is an elected fellow of...

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David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation. He is the author of influential articles on statistics education and of several leading texts.

George P. McCabe is the Associate Dean for Academic Affairs in the College of Science and a Professor of Statistics at Purdue University. Professor McCabe is an elected fellow of the American Association for the Advancement of Science and of the American Statistical Association. He has served on the editorial boards of several statistics journals, has consulted with many major corporations, and has testified as an expert witness on the use of statistics.

Layth C. Alwan in Associate Professor of Business Statistics and Operations Management, Sheldon B. Lubar School of Business, University of Wisconsin–Milwaukee. Professor Alwan is an author of many research articles related to statistical process control and business forecasting. He has consulted for many leading companies on statistical issues related to quality, forecasting, and operations/supply chain management applications. He is the recipient of several teaching awards, including Business School Teacher of the Year and Executive M.B.A. Outstanding Teacher of the Year.

Bruce A. Craig is Professor of Statistics and Director of the Statistical Consulting Service at Purdue University. He is an active member of the American Statistical Association and was chair of its section on Statistical Consulting in 2009. Professor Craig has served on the editorial board of several statistical journals and has been a member of several data and safety monitoring boards, including Purdue's IRB.

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