Business Statistics: A First Course, Canadian Edition, 2nd edition

Published by Pearson Canada (September 18, 2020) © 2019

  • Norean R. Sharpe Georgetown University
  • Richard D. De Veaux Williams College
  • Paul F. Velleman Cornell University
  • Jonathan Berkowitz Sauder School of Business, University of British Columbia
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Business Statistics: A First Course narrows the gap between theory and practice—relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues–with an emphasis on analysis and understanding over computation–the text helps students think analytically, prepares them to make better business decisions, and shows them how to effectively communicate results.

The Canadian edition uses illustrative case studies and chapter exercises that focus on business and management of Canadian companies, large and small. The writing has Canadian style, perspective, and sensibility, not just changes to spelling and metric measurements. The book recognizes that Canada has public policy, governmental structure and mandate (federal, provincial, and municipal), economic systems (banking and finance), social services, health care, sports and entertainment are different from the United States. While the book is indeed Canadian, it also shows how statistics has no geographical borders, and is a vital part of building and enhancing the global community.

  1. Statistics, Data, & Decisions
  2. Displaying and Describing Categorical Data
  3. Displaying and Describing Quantitative Data
  4. Correlation and Linear Regression
  5. Randomness and Probability
  6. Random Variables and Probability Models
  7. The Normal and Other Continuous Distributions
  8. Surveys and Sampling
  9. Sampling Distributions and Confidence Intervals for Proportions
  10. Testing Hypothesis about Proportions
  11. Confidence Intervals and Hypothesis Tests for Means
  12. Comparing Two Groups
  13. Inference for Counts: Chi-Square Tests
  14. Inference for Regression
  15. Multiple Regression
  16. Statistical Modelling and the World of Business Statistics

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