Business Statistics for Contemporary Decision Making, 4th Canadian Edition

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https://dev.store.wiley.com/en-ca/Business+Statistics+for+Contemporary+Decision+Making%2C+4th+Canadian+Edition-p-9781119983224

Description

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 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.

New to Edition

Updated Decision Dilemma and Decision Dilemma Solved features for currency and relevancy. Examples of companies featured include CN Railway and Buckley’s Cough Syrup.
Updated Problems and Demonstration Problems with the latest data and current companies, industries, and countries.
Updated several Chapter Cases for relevancy and currency
Updated Big Data Case features for relevancy
Updated Thinking Critically About Statistics in Business Today features with current statistics, e.g., “Cellular Phone Use in Japan” in Chapter 1 with current cell phone statistics
Updated several cases at the end of each chapter, e.g., the “Coca-Cola Develops the African Market” case in Chapter 3 was updated with new Excel case output for analysis
Updated the Decision Dilemma opening vignettes for instance, “Life with a Cell Phone” in Chapter 5 was updated for currency
Updated the Thinking Critically about Statistics in Business Today feature, e.g., “Airline Passengers’ Complaints” in Chapter 5 that is used to emphasize the use of the Poisson distribution was updated for currency.
Updated the focus of the Thinking Critically feature in chapter 9 to testing hypotheses about commuting in a post-pandemic environment.

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.
Databases: Six databases representing several industries including banking, consumer spending, energy, environmental, agriculture, finance, manufacturing, healthcare, market research, retailing, stocks and more provide additional opportunities for students to apply the statistics presented in each chapter.
Big Data Case engage students with variables, samples, and data. These cases enable students to solve and perform a number of data tasks that are practical for the course and future careers.
Visualizing Time-Series Data Section: helps students use historical data with measures taken over time to predict what might happen in the future.
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.

To Purchase this product, please visit

https://dev.store.wiley.com/en-ca/Business+Statistics+for+Contemporary+Decision+Making%2C+4th+Canadian+Edition-p-9781119983224