Applied Statistics in Business and Economics - David Doane, Lori Seward

Applied Statistics in Business and Economics

Buch | Hardcover
2021 | 7th edition
McGraw-Hill Education (Verlag)
978-1-260-71628-3 (ISBN)
239,95 inkl. MwSt
Applied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how.  The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics.  It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues). The Doane and Seward authors work as a team, integrating the digital and eBook assets seamlessly. In recognition of a growing interest in analytics training beyond Excel, the textbook now provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules, tables of R functions, and R-compatible Excel data sets.

David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School. Lori E. Seward is an Instructor in the Decisions Sciences Department in the College of Business at The University of Colorado at Denver and Health Sciences Center. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech. After several years working as a reliability and quality engineer in the paper and automotive industries, she earned her PhD from Virginia Tech.

Chapter 1: Overview of Statistics 





Chapter 2: Data Collection 





Chapter 3: Describing Data Visually 





Chapter 4: Descriptive Statistics 





Chapter 5: Probability 





Chapter 6: Discrete Probability Distributions 





Chapter 7: Continuous Probability Distributions 





Chapter 8: Sampling Distributions and Estimation 





Chapter 9: One-Sample Hypothesis Tests 





Chapter 10: Two-Sample Hypothesis Tests 





Chapter 11: Analysis of Variance 





Chapter 12: Simple Regression 





Chapter 13: Multiple Regression 





Chapter 14: Time-Series Analysis 





Chapter 15: Chi-Square Tests 





Chapter 16: Nonparametric Tests 





Chapter 17: Quality Management 





Chapter 18: Simulation 1

Erscheinungsdatum
Zusatzinfo Illustrations, unspecified
Verlagsort OH
Sprache englisch
Gewicht 1755 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Wirtschaft Betriebswirtschaft / Management
ISBN-10 1-260-71628-7 / 1260716287
ISBN-13 978-1-260-71628-3 / 9781260716283
Zustand Neuware
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