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Business Statistics: For Contemporary Decision
Making, 10th Edition
Ken Black
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DESCRIPTION
Business Statistics continues the tradition of presenting and explaining the wonders of business statistics through a clear, complete,
student-friendly pedagogy. In this 10th edition, author Ken Black 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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NEW TO EDITION
• NEW Business Analytics Coverage: Helping the student understand business analytics and the role that
business statistics plays in it, the 10th edition has infused the language of business analytics along with its
definitions, approaches, and explanations throughout this course.
• NEW Big Data Case: Using data from the American Hospital Association, each chapter contains an activity
asking students to perform several tasks using variables, samples, and data.
• 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.
• EXPANDED Databases: Twenty databases representing several industries including banking, consumer
spending, energy, environmental, finance, manufacturing, healthcare, market research, retailing, stocks and more
provide additional opportunities for students to apply the statistics presented in each chapter.
• NEW Visualizing Time-Series Data Section: helps students use historical data with measures taken over time
to predict what might happen in the future.
• Ethical 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://www.wiley.com/en-us/9781119607458