Interactive Statistics (Classic Version), 3rd edition

Published by Pearson (March 14, 2018) © 2019

  • Martha Aliaga
  • Brenda Gunderson
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For algebra-based Introductory Statistics courses.

A modern classic

Interactive Statistics, 2nd Edition takes a hands-on approach to the introduction of basic statistical methods and concepts, using a highly interactive method that promotes active learning and true assimilation of key concepts. Students are taught to ask “why,” thinking like a statistician to find the logical solution. With its strong emphasis on data analysis, the book seeks to make students better consumers of statistics and to give them the skills to understand and interpret statistical results using real data from newspapers and research journals.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

Hallmark features of this title

  • Unique introductory chapter provides an overview of the basic components of decision-making and using statistical ideas to assist students in mastering the language of statistics, understanding the importance of a p-value, and grasping the meaning of statistical significance.
  • “Let's do it!” exercises emphasize active learning with workbook-style problems that reinforce statistical concepts and lead students to discover the next concept. Gives students an opportunity to discuss their ideas by working with a partner, and draws them into gathering and analyzing data.
  • “Think About It” boxed questions ask students to reflect on a particular concept or technique, helping them make the leap to the next related statistical concept.
  • Real data in exercises and examples uses data sets on timely topics drawn from newspapers, magazines and journals familiar to students.
  • Integrated use of graphing calculator includes chapter-ending TI Quick Steps to instruct students in using calculators to enter, manipulate, and plot data quickly and conveniently.
  • Early coverage of sampling and experiment design introduces students early to important issues such as sampling techniques, biases in data, use of random samples, and the factors in planning statistically valid experiments.

New and updated features of this title

  • Updated and revised content throughout includes expanded coverage of current topics and new coverage such as power of the test and effect size, bootstrap, and blocking designs in experiments
  • Examples are presented in a 3-step consistent format (Problem, Solution, and What We've Learned) to help students navigate examples and think of multiple ways to address problems, while offering an excellent summary or reflection on the main point or feature of the example.
  • Highly diverse coverage uses examples from business, sports, economics, and more to address a wide range of student interests.
  • At least 15% updated and new exercises including Critical Thinking Exercises that require a deeper level of critical thinking.
  • Caution boxes in the margins highlight critical concepts or things to watch out for. Comprehensive Key Terms and List of Formulas includes page numbers to facilitate student review.
  • Reformatted End-of-Chapter Summaries are now bulleted to help students better digest and review the main ideas in each chapter.

Note: Each chapter ends with a Chapter Summary, Key Terms, and Exercises.

  1. How to Make a Decision with Statistics
  2. Producing Data
  3. Observation Studies and Experiments
  4. Summarizing Data Graphically
  5. Summarizing Data Numerically
  6. Using Models to Make Decisions
  7. How to Measure Uncertainty with Probability
  8. Sampling Distributions: Measuring the Accuracy of Sample Results
  9. Making Decisions about a Population Proportion with Confidence
  10. Making Decisions about a Population Mean with Confidence
  11. Comparing Two Treatments
  12. Comparing Many Treatments
  13. Relationships Between Quantitative Variables
  14. Analysis of Count Data
  15. What if the Assumptions Don't Hold?

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