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Intuitive introductory statistics / Douglas A. Wolfe and Grant Schneider.

By: Contributor(s): Material type: TextTextSeries: Springer texts in statisticsPublication details: Cham : Springer, 2017.Description: xviii, 976 pages : illustrations (some color) ; 26 cmISBN:
  • 9783319560700
Subject(s): DDC classification:
  • 000SA.02 23 W855
Contents:
1. Exploratory data analysis: observing patterns and departures from patterns -- 2. Exploring Bivariate and categorical data -- 3. Designing a survey of experiment: deciding what and how to measure -- 4. Understanding random events: producing models using probability and simulation -- 5. Sampling distributions and approximations -- 6. Statistical inference: estimating probabilities and testing and confirming models -- 7. Statistical inference for the center of population -- 8. Statistical inference for matched pairs or paired replicates data -- 9. Statistical inference for two populations -independent samples -- 10. Statistical inference for two-way tables of count data -- 11. Statistical inference for bivariate populations -- 12. Statistical inference for more than two populations -- Appendices.
Summary: 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.
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Include index and bibliographical references and index.

1. Exploratory data analysis: observing patterns and departures from patterns --
2. Exploring Bivariate and categorical data --
3. Designing a survey of experiment: deciding what and how to measure --
4. Understanding random events: producing models using probability and simulation --
5. Sampling distributions and approximations --
6. Statistical inference: estimating probabilities and testing and confirming models --
7. Statistical inference for the center of population --
8. Statistical inference for matched pairs or paired replicates data --
9. Statistical inference for two populations -independent samples --
10. Statistical inference for two-way tables of count data --
11. Statistical inference for bivariate populations --
12. Statistical inference for more than two populations --
Appendices.

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.

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