The Practice of Statistics for Business & Economics plus LaunchPad
4th Edition
Published on 9. January 2016
Book
Mixed media product
976 pages
978-1-352-00142-6 (ISBN)
Description
This version includes both the textbook and LaunchPad Access.
Written by team of leading statisticians led by best-selling statistics textbook author David Moore, this textbook is an essential resource for students using statistics in business and economics. Using data, examples, and exercises drawn from the real world, The Practice of Statistics for Business and Economics teaches students the methods of statistical thinking, making data-based decisions using real data. With this textbook, 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 the LaunchPad version of the textbook, both the print and online resource are combined, putting powerful statistical tools and interactive learning features in students' hands.
Written by team of leading statisticians led by best-selling statistics textbook author David Moore, this textbook is an essential resource for students using statistics in business and economics. Using data, examples, and exercises drawn from the real world, The Practice of Statistics for Business and Economics teaches students the methods of statistical thinking, making data-based decisions using real data. With this textbook, 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 the LaunchPad version of the textbook, both the print and online resource are combined, putting powerful statistical tools and interactive learning features in students' hands.
More details
Edition
4th ed. 2016
Language
English
Place of publication
Basingstoke
United Kingdom
Publishing group
Palgrave Macmillan
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
976 p. Book + Access Card. 2 volume-set.
Dimensions
Height: 235 mm
Width: 155 mm
ISBN-13
978-1-352-00142-6 (9781352001426)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.
Content
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.