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Statistics: From Data to Decision, Binder Ready Version, 2nd Edition

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Statistics: From Data to Decision, Binder Ready Version, 2nd Edition

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Description

This text is an unbound, binder-ready edition. This book 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 than on 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.

A Note to Students from the Authors vii

1 A CASE STUDY OF STATISTICS IN ACTION 2

2 EXPLORING DISTRIBUTIONS 22

3 RELATIONSHIPS BETWEEN TWO QUANTITATIVE VARIABLES 100

4 SAMPLE SURVEYS AND EXPERIMENTS 208

5 SAMPLING DISTRIBUTIONS 266

6 PROBABILITY MODELS 326

7 PROBABILITY DISTRIBUTIONS 378

8 INFERENCE FOR PROPORTIONS 412

9 INFERENCE FOR MEANS 478

10 CHI-SQUARE TESTS 576

11 INFERENCE FOR REGRESSION 628

12 STATISTICS IN ACTION: CASE STUDIES 678

Appendix: Statistical Tables 699

Table A: Standard Normal Probabilities 699

Table B: t-Distribution Critical Values 701

Table C: Chi-Square Distribution Critical Values 702

Table D: Random Digits 703

Glossary 704

Brief Answers to Selected Problems 712

Index 743

Photo Credits 752

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.
  • Data and problems are real rather than hypothetical.
  • Encourages students to be active participants in the classroom through activities and dialog.
  • Due to the emphasis on a variety of technologies such as graphing calculators and software, the text features many graphical displays and computer printouts.
  • Realistic models are provided for design and analysis of experiments and surveys at an intro level.