The Practice of Statistics for Business and Economics Achieve access card

1. Auflage 2022
ISBN: 978-1-319-45016-8
Verlag: WH Freeman

Medienkombination, Englisch, Book + Access Card, Format (B × H): 155 mm x 235 mm

Look at your data

Now 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.

Autoren/Hrsg.

Moore, David S.

McCabe, George P.

Craig, Bruce A.

Alwan, Layth

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

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

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.