Intuitive Introductory Statistics

1. Front Matter

   Pages i-xviii

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2. Exploratory Data Analysis: Observing Patterns and Departures from Patterns

   • Douglas A. Wolfe, Grant Schneider

   Pages 1-142

3. Exploring Bivariate and Categorical Data

   • Douglas A. Wolfe, Grant Schneider

   Pages 143-198

4. Designing a Survey or Experiment: Deciding What and How to Measure

   • Douglas A. Wolfe, Grant Schneider

   Pages 199-241

5. Understanding Random Events: Producing Models Using Probability and Simulation

   • Douglas A. Wolfe, Grant Schneider

   Pages 243-330

6. Sampling Distributions and Approximations

   • Douglas A. Wolfe, Grant Schneider

   Pages 331-415

7. Statistical Inference: Estimating Probabilities and Testing and Confirming Models

   • Douglas A. Wolfe, Grant Schneider

   Pages 417-535

8. Statistical Inference for the Center of a Population

   • Douglas A. Wolfe, Grant Schneider

   Pages 537-631

9. Statistical Inference for Matched Pairs or Paired Replicates Data

   • Douglas A. Wolfe, Grant Schneider

   Pages 633-668

10. Statistical Inference for Two Populations–Independent Samples

    • Douglas A. Wolfe, Grant Schneider

    Pages 669-771

11. Statistical Inference for Two-Way Tables of Count Data

    • Douglas A. Wolfe, Grant Schneider

    Pages 773-837

12. Statistical Inference for Bivariate Populations

    • Douglas A. Wolfe, Grant Schneider

    Pages 839-905

13. Statistical Inference for More Than Two Populations

    • Douglas A. Wolfe, Grant Schneider

    Pages 907-945

14. Back Matter

    Pages 947-976

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This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge approach provides the alternatives. It is an introduction to the world and possibilities of statistics that uses exercises, computer analyses, and simulations throughout the core lessons. These elementary statistical methods are intuitive. Counting and ranking features prominently in the text. Nonparametric methods, for instance, are often based on counts and ranks and are very easy to integrate into an introductory course.​ The ease of computation with advanced calculators and statistical software, both of which factor into this text, allows important techniques to be introduced earlier in the study of statistics. This book's novel scope also includes measuring symmetry with Walsh averages, finding a nonparametric regression line, jackknifing, and bootstrapping​. Concepts and techniques are explored through practical problems. Quantitative reasoning is at the core of so many professions and academic disciplines, and this book opens the door to the most modern possibilities.

• Counting and ranking
• Data analysis textbook
• Introductory Statistics course
• Nonparametric methods
• Nonparametric regression line
• R software

• Department of Statistics, The Ohio State University, Columbus, USA

  Douglas A. Wolfe

• Upstart Network, San Carlos, USA

  Grant Schneider

Douglas A. Wolfe is a Professor Emeritus in the Department of Statistics at The Ohio State University. Much of his current research is in ranked set sampling. He is also the author of a popular textbook on nonparametric statistics. Grant Schneider is a Data Scientist at Upstart Network in the San Francisco Bay area. Grant created the accompanying R package and is experienced with statistical programming for research and in the classroom. He received his PhD in Statistics from The Ohio State University.

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