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CM LaunchPad for Practice of Statistics for Business and Economics (Twenty-Four Month Online) by David S Moore; George P. McCabe; Layth C. Alwan; Bruce A. Craig - Fourth Edition, 2016 from Macmillan Student Store
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CM LaunchPad for Practice of Statistics for Business and Economics (Twenty-Four Month Online)

Fourth  Edition| ©2016

David S Moore; George P. McCabe; Layth C. Alwan; Bruce A. Craig

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LaunchPad $129.99

ISBN:9781319102166

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  • About
  • Digital Options
  • Contents
  • Authors

About

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 decisions from the first day of class.

With its expanded, dedicated version of LaunchPad, the text more than ever is a seamlessly integrated print/online resource, putting powerful statistical tools and interactive learning features in students’ hands.

Digital Options

Launchpad

Get the e-book, do assignments, take quizzes, prepare for exams and more, to help you achieve success in class.

Learn More

Contents

Table of Contents

1. Examining Distributions

2. Examining Relationships

3. Producing Data

4. Probability: The Study of Randomness

5. Distributions for Counts and Proportions

6. Introduction to Inference

7. Inference for Distributions

8. Inference for Proportions

9. Inference for Categorical Data

10. Inference for Regression

11. Multiple Regression

12. Statistics for Quality: Control and Capability

13. Time Series Forecasting

14. One-Way Analysis of Variance

15. Two-Way Analysis of Variance

16. Nonparametric Tests

17. Logistic Regression

Authors

David S. Moore

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 received his AB from Princeton and his PhD from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore 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.
In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America’s national award for distinguished college or university teaching of mathematics.


George P. McCabe

George P. McCabe is the Associate Dean for Academic Affairs in the College of Science and a Professor of Statistics at Purdue University. In 1966, he received a B.S. degree in mathematics from Providence College, and in 1970 a Ph.D. in mathematical statistics from Columbia University.  His entire professional career has been spent at Purdue with sabbaticals at Princeton, the Commonwealth Scientific and Industrial Research Organization in Melbourne (Australia); the University of Berne (Switzerland); the National Institute of Standards and Technology (Boulder, Colorado); and the National University of Ireland in Galway. Professor McCabe is an elected fellow of the American Association for the Advancement of Science and of the American Statistical Association; he was 1998 Chair of its section on Statistical Consulting. From 2008 to 2010, he served on the Institute of Medicine Committee on Nutrition Standards for the National School Lunch and Breakfast Programs.  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.
 
Professor McCabe’s research has focused on applications of statistics.  Much of his recent work has been on problems of nutrition, including nutrient requirements, calcium metabolism, and bone health. He is author or coauthor of more than 160 publications in many different journals.


Layth C. Alwan

Layth C. Alwan is a Professor of Business Statistics and Operations Management, Sheldon B. Lubar School of Business, University of Wisconsin–Milwaukee. He received a B.A. in mathematics, B.S. in statistics, M.B.A., and PhD in business statistics/operations management, all from the University of Chicago, and an M.S. in computer science from DePaul University. 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. On the teaching front, he is focused on engaging and motivating business students on how statistical thinking and data analysis methods have practical importance in business. 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

Bruce A. Craig is Professor of Statistics and Director of the Statistical Consulting Service at Purdue University. He received his B.S. in mathematics and economics from Washington University in St. Louis and his PhD in statistics from the University of Wisconsin–Madison. He is an active member of the American Statistical Association and was chair of its section on Statistical Consulting in 2009. He also is an active member of the Eastern North American Region of the International Biometrics Society and aws elected by the voting membership to the Regional Committee from 2003 to 2006. 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. Professor Craig's research interests focus on the development of novel statistical methodology to address research questions in the life sciences. Areas of current interest are protein structure determination, diagnostic testing, and animal abundance estimation. In 2005, he was named Purdue University Faculty Scholar.


William M. Duckworth

William M. Duckworth specializes in statistics education, business applications of statistics, and design of experiments. He holds a B.S. and an M.S. from Miami University (Ohio) in mathematics and statistics and a PhD in statistics from the University of North Carolina at Chapel Hill. His professional affiliations include the American Statistical Association (ASA), the International Association for Statistical Education (IASE), and the Decision Sciences Institute (DSI). He currently serves on the editorial board of the Journal of Statistics Education and has served as the ASA Editor for Statistics Education Web Content. Professor Duckworth was also a member of the Undergraduate Statistics Education Initiative (USEI), which developed curriculum guidelines for undergraduate programs in statistical science that were officially adopted by the ASA. Professor Duckworth has published research papers and been invited to speak at professional meetings and at company training workshops. During his tenure in the Statistics Department at Iowa State University, his main responsibility was coordinating, teaching, and improving introductory business statistics courses for over one thousand business students a year. He received the Iowa State University Foundation Award for Early Achievement in Teaching, based in part on his improvements to introductory business statistics. Professor Duckworth now teaches business statistics in the College of Business Administration at Creighton University.


Data-driven decision making from day one

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 decisions from the first day of class.

With its expanded, dedicated version of LaunchPad, the text more than ever is a seamlessly integrated print/online resource, putting powerful statistical tools and interactive learning features in students’ hands.

Launchpad

Get the e-book, do assignments, take quizzes, prepare for exams and more, to help you achieve success in class.

Learn More

Table of Contents

1. Examining Distributions

2. Examining Relationships

3. Producing Data

4. Probability: The Study of Randomness

5. Distributions for Counts and Proportions

6. Introduction to Inference

7. Inference for Distributions

8. Inference for Proportions

9. Inference for Categorical Data

10. Inference for Regression

11. Multiple Regression

12. Statistics for Quality: Control and Capability

13. Time Series Forecasting

14. One-Way Analysis of Variance

15. Two-Way Analysis of Variance

16. Nonparametric Tests

17. Logistic Regression

David S. Moore

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 received his AB from Princeton and his PhD from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore 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.
In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America’s national award for distinguished college or university teaching of mathematics.


George P. McCabe

George P. McCabe is the Associate Dean for Academic Affairs in the College of Science and a Professor of Statistics at Purdue University. In 1966, he received a B.S. degree in mathematics from Providence College, and in 1970 a Ph.D. in mathematical statistics from Columbia University.  His entire professional career has been spent at Purdue with sabbaticals at Princeton, the Commonwealth Scientific and Industrial Research Organization in Melbourne (Australia); the University of Berne (Switzerland); the National Institute of Standards and Technology (Boulder, Colorado); and the National University of Ireland in Galway. Professor McCabe is an elected fellow of the American Association for the Advancement of Science and of the American Statistical Association; he was 1998 Chair of its section on Statistical Consulting. From 2008 to 2010, he served on the Institute of Medicine Committee on Nutrition Standards for the National School Lunch and Breakfast Programs.  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.
 
Professor McCabe’s research has focused on applications of statistics.  Much of his recent work has been on problems of nutrition, including nutrient requirements, calcium metabolism, and bone health. He is author or coauthor of more than 160 publications in many different journals.


Layth C. Alwan

Layth C. Alwan is a Professor of Business Statistics and Operations Management, Sheldon B. Lubar School of Business, University of Wisconsin–Milwaukee. He received a B.A. in mathematics, B.S. in statistics, M.B.A., and PhD in business statistics/operations management, all from the University of Chicago, and an M.S. in computer science from DePaul University. 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. On the teaching front, he is focused on engaging and motivating business students on how statistical thinking and data analysis methods have practical importance in business. 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

Bruce A. Craig is Professor of Statistics and Director of the Statistical Consulting Service at Purdue University. He received his B.S. in mathematics and economics from Washington University in St. Louis and his PhD in statistics from the University of Wisconsin–Madison. He is an active member of the American Statistical Association and was chair of its section on Statistical Consulting in 2009. He also is an active member of the Eastern North American Region of the International Biometrics Society and aws elected by the voting membership to the Regional Committee from 2003 to 2006. 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. Professor Craig's research interests focus on the development of novel statistical methodology to address research questions in the life sciences. Areas of current interest are protein structure determination, diagnostic testing, and animal abundance estimation. In 2005, he was named Purdue University Faculty Scholar.


William M. Duckworth

William M. Duckworth specializes in statistics education, business applications of statistics, and design of experiments. He holds a B.S. and an M.S. from Miami University (Ohio) in mathematics and statistics and a PhD in statistics from the University of North Carolina at Chapel Hill. His professional affiliations include the American Statistical Association (ASA), the International Association for Statistical Education (IASE), and the Decision Sciences Institute (DSI). He currently serves on the editorial board of the Journal of Statistics Education and has served as the ASA Editor for Statistics Education Web Content. Professor Duckworth was also a member of the Undergraduate Statistics Education Initiative (USEI), which developed curriculum guidelines for undergraduate programs in statistical science that were officially adopted by the ASA. Professor Duckworth has published research papers and been invited to speak at professional meetings and at company training workshops. During his tenure in the Statistics Department at Iowa State University, his main responsibility was coordinating, teaching, and improving introductory business statistics courses for over one thousand business students a year. He received the Iowa State University Foundation Award for Early Achievement in Teaching, based in part on his improvements to introductory business statistics. Professor Duckworth now teaches business statistics in the College of Business Administration at Creighton University.


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