This introductory textbook provides an inexpensive, brief overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included. Using the author's own data and examples from published research and the popular media, the book is a straightforward and accessible guide to statistics.





New features in the fourth edition include:








sets of work problems in each chapter with detailed solutions and additional problems online to help students test their understanding of the material,







new "Worked Examples" to walk students through how to calculate and interpret the statistics featured in each chapter,







new examples from the author's own data and from published research and the popular media to help students see how statistics are applied and written about in professional publications,







many more examples, tables, and cha