Business Statistics: For Contemporary Decision Making, 3rd Canadian Edition

Book Cover

Business Statistics: For Contemporary Decision Making, 3rd Canadian Edition

By Ken Black,Tiffany Bayley and Ignacio Castillo

SINGLE-TERM
$99  USD | $99  CAN

Business Statistics continues the tradition of presenting and explaining the wonders of business statistics through a clear, complete, student-friendly pedagogy. In this third Canadian edition, authors Ken Black, Ignacio Castillo and Tiffany Bayley use current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today’s workplace. To improve the learning experience for all students, WileyPLUS includes a clear, customizable and mobile-friendly learning path packed with homework practice, lecture and applied skills videos, visualization exercises, an e-book, Bloomberg videos and much more.

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Hear from our Authors

Data Analytics Module

NEW Data Analytics & Decision-Making Module prepares students for the changing workplace.

With the emergence of Data Analytics transforming the business environment, Wiley has partnered with business leaders in the Business-Higher Education Forum (BHEF) to identify the competencies graduates need to be successful in their careers. As a result, this module includes industry-validated content that prepares business statistics students for the changing workforce.

NEW Real-World Video Activities provide business context.

WileyPLUS now offers a set of graded analysis activities that pair cutting-edge business video content from Bloomberg with concepts from the Black text. This new resource provides students with an applied and engaging learning experience to supplement their business statistics course.

Engaging videos help increase comprehension.

Lecture and Applied Skills Videos – about 40 in total – feature author, Ken Black as he introduces key concepts to students in a way they can understand. Additionally, the third edition features Office Hours Videos, problem-solving video tutorials based on chapter problems prepared by Canadian author Ignacio Castillo.

    What’s New

  • NEW Business Analytics Coverage: Helping the student understand business analytics and the role that business statistics plays in it, the third Canadian edition has infused the language of business analytics along with its definitions, approaches, and explanations throughout this course.
  • NEW Big Data Case: Using data that is available for hospitals in North America, this running case provides students the opportunity to use variables, samples and data from a large database to complete several end of case activities.
  • NEW Visualizing Time-Series Data Section: helps students use historical data with measures taken over time to predict what might happen in the future.
  • NEW Data Analytics & Decision-Making Module: With the emergence of Data Analytics transforming the business environment, Wiley has partnered with business leaders in the Business-Higher Education Forum (BHEF) to identify the competencies graduates need to be successful in their careers. As a result, this module includes industry-validated content that prepares business statistics students for the changing workforce.
  • NEW Real-World Video Activities: WileyPLUS now offers a set of graded analysis activities that pairs cutting-edge business video content from Bloomberg with concepts from the Black text. This new resource provides students with an applied and engaging learning experience to supplement their business statistics course.
  • Databases: This third Canadian edition also includes additional databases to give students more practice with data analytics, big data and data visualization.

Ken Black is currently professor of decision sciences in the School of Business at the University of Houston–Clear Lake. Born in Cambridge, Massachusetts, and raised in Missouri, he earned a bachelor’s degree in mathematics from Graceland University, a master’s degree in math education from the University of Texas at El Paso, a Ph.D. in business administration (management science), and a Ph.D. in educational research from the University of North Texas..

Since joining the faculty of UHCL in 1979, Professor Black has taught all levels of statistics courses, business analytics, forecasting, management science, market research, and production/operations management. In 2014, he received the Outstanding Professor Alumni Award from University of Houston – Clear Lake. In 2005, he was awarded the President’s Distinguished Teaching Award for the university. He has published over 20 journal articles and 20 professional papers, as well as two textbooks: Business Statistics: An Introductory Course and Business Statistics for Contemporary Decision Making. Black has consulted for many different companies, including Aetna, the city of Houston, NYLCare, AT&T, Johnson Space Center, Southwest Information Resources, UTMB, and Doctors Hospital at Renaissance. Black is active in the quality movement and is a certified Master Black Belt in Lean Six Sigma. Ken Black and his wife, Carolyn, have two daughters, Caycee and Wendi, and a grandson, Antoine. His hobbies include playing the guitar, reading, and traveling.

Ignacio Castillo is a professor of operations and decision sciences at the Lazaridis School of Business & Economics, Wilfrid Laurier University. He holds a Ph.D. in industrial engineering from Texas A&M University, an M.S.E. in industrial engineering from Arizona State University, and a B.S. (magna cum laude) in applied sciences from Universidad San Francisco de Quito, Ecuador. His research and teaching interests include business statistics, facility location, facility layout and material handling systems, manufacturing and service operations and logistics, and sustainable and closed-loop supply chain management. Dr. Castillo is a former LASPAU Scholar and Glenn Carroll Teaching Fellow, has served as adjunct faculty at the University of Alberta and the University of Waterloo, and is a member of the Alpha Pi Mu Industrial Engineering Honor Society, The Honor Society of Phi Kappa Phi, and Pinnacle Honor Society.

Tiffany Bayley is an assistant professor of operations and decision sciences at the Lazaridis School of Business & Economics, Wilfrid Laurier University. She holds a Ph.D. and M.A.Sc in applied operations research from the University of Waterloo, and a B.A.Sc in industrial and manufacturing systems engineering from the University of Windsor. Her research and teaching interests include business analytics, optimization and decomposition approaches for production planning, healthcare, and supply chain management problems, and experiential learning design for operations management and business analytics pedagogy. Dr. Bayley received the Natural Sciences and Engineering Research Council of Canada (NSERC) Alexander Graham Bell Canada Graduate Scholarship and the NSERC Post Graduate Doctoral Scholarship. She is a member of the Canadian Operational Research Society (CORS) and Institute for Operations Research and the Management Sciences (INFORMS).

  1. Chapter 1 Introduction to Statistics
  2. Chapter 2 Charts and Graphs
  3. Chapter 3 Descriptive Statistics
  4. Chapter 4 Probability
  5. Chapter 5 Discrete Distributions
  6. Chapter 6 Continuous Distributions
  7. Chapter 7 Sampling and Sampling Distributions
  8. Chapter 8 Statistical Inference: Estimation for Single Populations
  9. Chapter 9 Statistical Inference: Hypothesis Testing for Single Populations
  10. Chapter 10 Statistical Inferences about Two Populations
  11. Chapter 11 Analysis of Variance and Design of Experiments
  12. Chapter 12 Simple Regression Analysis and Correlation
  13. Chapter 13 Multiple Regression Analysis
  14. Chapter 14 Building Multiple Regression Models
  15. Chapter 15 Time-Series Forecasting and Index Numbers
  16. Chapter 16 Analysis of Categorical Data
  17. Chapter 17 Nonparametric Statistics
  18. Chapter 18 Statistical Quality Control
  19. Chapter 19 Decision Analysis

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