Wolfe D.A., Schneider G. Intuitive Introductory Statistics

New York: Springer, 2017. — 980 p.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.Exploratory Data Analysis: Observing Patterns and Departures from Patterns
Exploring Bivariate and Categorical Data
Designing a Survey or Experiment: Deciding What and How to Measure
Understanding Random Events: Producing Models Using Probability and Simulation
Sampling Distributions and Approximations
Statistical Inference: Estimating Probabilities and Testing and Confirming Models
Statistical Inference for the Center of a Population
Statistical Inference for Matched Pairs or Paired Replicates Data
Statistical Inference for Two Populations–Independent Samples
Statistical Inference for Two-Way Tables of Count Data
Statistical Inference for Bivariate Populations
Statistical Inference for More Than Two Populations