Business Statistics: For Contemporary Decision Making, 4th Canadian Edition
By Ken Black, Tiffany Bayley and Ignacio Castillo
Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo use uses 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.
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Inspire efficient concept mastery through adaptive learning.
Close knowledge gaps and accelerate student learning with Adaptive Assignments that continuously adapt to each student’s needs with individualized, just-in-time feedback and instruction. Assign as pre-lecture to introduce key concepts before class and post-lecture for additional practice.
Activate knowledge application with real-world context.
Introduce each course section with Decision Dilemmas, a real-world business vignette that presents a work dilemma and related managerial or statistical questions. With Dilemma Solved features that conclude each section, students have the opportunity to think critically and discuss accompanying assessment questions.
Engage students with variables, samples, and data with our Big Data Cases. With data from the American Hospital Association, these cases enable students to solve and perform a number of data tasks that are practical for the course and future careers.
Encourage students to explore the relationships between contemporary business and larger social issues with our Environmental, Social, and Corporate Governance (ESG) Module. With various discussion questions and assessment, students are challenged to think critically about societal structures, lived experiences, and sustainability.
Cultivate the skills students need for career success.
Develop the Excel knowledge and skills students need using Gradable Excel, which gives them the opportunity to practice using formulas and functions in a real Microsoft Excel worksheet. With automatic grading and immediate cell-level feedback, students build key skills needed to be competitive in today’s job market while enhancing their understanding of key business concepts.
Provide students with hands-on data experience using our Data Analytics & Business Module. Developed through a partnership with business leaders in the Business-Higher Education Forum (BHEF) to identify the competencies graduates need to be successful in their careers, this module includes industry-validated content that prepares business statistics students for the changing workforce.
Share real-life examples of how course content is applied in the business world with our Thinking Critically About Statistics in Business Today Feature Boxes that help students develop key career skills.
What’s New
- Gradable Excel for selected end-of-topic and end-of-chapter homework questions are available to facilitate student practice of Excel skills.
- New R supplemental content that introduces students to the R programming language in a business statistics context.
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 Ivey Business School at Western 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 Introduction to Statistics and Business Analytics
2 Visualizing the Data with Charts and Graphs
3 Descriptive Statistics
4 Probability
5 Discrete Distributions
6 Continuous Distributions
7 Sampling and Sampling Distributions
8 Statistical Inference: Estimation for Single Populations
9 Statistical Inference: Hypothesis Testing for Single Populations
10 Statistical Inferences About Two Populations
11 Analysis of Variance and Design of Experiments
12 Simple Regression Analysis and Correlation
13 Multiple Regression Analysis
14 Building Multiple Regression Models
15 Time-Series Forecasting and Index Numbers
16 Analysis of Categorical Data
17 Nonparametric Statistics
18 Statistical Quality Control
19 Decision Analysis