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 Bailey 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.
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.
Features
Decision Dilemmas:Each course section is introduced with a real-world business vignette that presents a dilemma and related managerial or statistical questions. Solutions to these questions require the use of techniques presented in the section. A Decision Dilemma Solved feature concludes each section, giving students the opportunity to answer and discuss each question presented at the beginning of the section.
Thinking Critically About Statistics in Business Today Exercises:Each course section features one or several of these exercises that give real-life examples of how the statistics presented in the section apply in the business world today.
Additional Databases: Databases representing several industries including agriculture, energy, environmental, finance, stocks and more provide additional opportunities for students to apply the statistics presented in each chapter.
Key Considerations:This feature in each course section integrates the topic of ethics with applications of business statistics.
Tree Taxonomy Diagrams: These diagrams illustrate the connection between topics and techniques and the ability to see the big picture of inferential statistics.
Section Reorganization Options:This course was designed to allow for both one- and two-semester coverage.
900+ Practice Problems: A treasury of practice problems are available in this course.
