The Practice of Statistics for Business and Economics (International Edition)

5th Auflage 2020
ISBN: 978-1-319-32481-0
Verlag: Macmillan Learning

Buch, Englisch, 880 Seiten, Book, Format (B × H): 227 mm x 284 mm, Gewicht: 1858 g

Look at your dataNow available with Macmillan’s online learning platform Achieve, The Practice of Statistics for Business and Economics (PSBE) helps 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.Achieve for The Practice of Statistics for Business and Economics connects the problem-solving approach and real-world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.

Zielgruppe

Lower undergraduate

Autoren/Hrsg.

Alwan, Layth C.

Moore, David

Craig, Bruce A.

McCabe, George

McCabe, George P.

Craig, Bruce

Alwan, Layth

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

CHAPTER 1 Examining DistributionsCHAPTER 2 Examining RelationshipsCHAPTER 3 Producing DataCHAPTER 4 Probability: The Study of RandomnessCHAPTER 5 Random Variables and Probability DistributionsCHAPTER 6 Sampling DistributionsCHAPTER 7 Introduction to InferenceCHAPTER 8 Inference for MeansCHAPTER 9 One-Way Analysis of VarianceCHAPTER 10 Inference for ProportionsCHAPTER 11 Inference for Categorical DataCHAPTER 12 Inference for RegressionCHAPTER 13 Multiple RegressionCHAPTER 14 Time Series ForecastingThe Core book includes Chapters 1 – 14 . Chapters 15 – 18 areindividual optional Companion Chapters and can be found atwww.macmillanlearning.com/psbe5e .CHAPTER 15 Statistics for Quality: Control and CapabilityCHAPTER 16 Two-Way Analysis of VarianceCHAPTER 17 Nonparametric TestsCHAPTER 18 Logistic Regression

Über Autor(innen)

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.