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Statistics: From Data to Decision, 2nd Edition

Statistics: From Data to Decision, 2nd Edition

Ann E. Watkins, Richard L. Scheaffer, George W. Cobb

ISBN: 978-0-470-45851-8

Apr 2010

856 pages

Description

Statistics, 2nd Edition teaches statistics with a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis rather than following recipes for calculations. This gives readers a more realistic understanding of both the theoretical and practical applications of statistics, giving them the ability to master the subject.

Related Resources

  1. Statistical Reasoning: Investigating a Claim of Discrimination
  2. Exploring Distributions of Data
  3. Relationship between Two Quantitative Variables
  4. Sample Surveys and Experiments
  5. Probability Models
  6. Probability Distributions
  7. Sampling Distributions
  8. Inference for a Proportion
  9. Comparing Two Populations: Inference for the
  10. Inference for Means
  11. Comparing Two Populations: Inference for the Difference of Two Means
  12. Chi-Square Tests
  13. Inference for Regression
  14. One- Way Analysis of Variance
  15. Multiple Regression
  16. Martin vs. Westvaco Revisited: Testing for Possible Discrimination in the Workplace
New Title
  • The name of the book has been changed to highlight two emphases of the college-level course. An informed citizen understands where data come from and has a feel for data and how to assess it. Also, familiarity with statistics as a discipline and mindset leads to critical thinking and sound decision making.

Reorganization of the Contents

  • The author team revamped the table of contents.
  • Chapter 3 (Relationships Between Two Quantitative Variables) was streamlined to focus on the descriptive statistics for correlation and regression covered in the college course.
  • Chapter 6 was heavily rewritten and reorganized, highlighting the big ideas of probability distributions—especially the binomial setting and binomial distribution.
  • Finally, Chapter 16 (Martin vs. Westvaco Revisited) takes another look at the opening case study from Chapter 1.

Examples

  • In addition to reorganizing topic coverage, the authors also added new examples throughout the book, selecting them from a wider array of scenarios, in line with the interests of students and the many majors that require the course.
Emphasizes data analysis