Includes bibliographical references (pages 465-470) and index.

"In the third edition of An Introduction to Statistics authors Kieth A. Carlson and Jennifer R. Winquist encourage students to take an active approach to learning statistics. While the chapters introduce the basic concepts of statistics, this book is unique in the depth of its active pedagogical approach. Carefully placed reading questions throughout each chapter support student learning by allowing them to apply their knowledge right away. 55 in-depth activities based on current behavioral science scenarios, each with problem sets and quiz questions, give students the opportunity to assess their understanding of concepts while reading detailed explanations of more complex statistical concepts. Additional practice problems further solidify student learning. When using most traditional text books, students only perform statistical procedures after they read multiple pages of text. This book adopts a workbook approach that encourages students to be actively engaged while they read explanations. Most of the activities are self-correcting, so if students misunderstand a concept their misunderstanding is corrected early in the learning process. After working through each chapter, students are far more likely to understand the material than when they only read the material. Importantly, the 3rd edition introduces "4 Pillars of Scientific Reasoning" (Hypothesis Testing with a Continuous p value, Practical Importance with Effect Size, Population Estimation with Confidence Intervals, and Methodology and Scientific Literature) to help students think about statistical results and create well-supported scientific conclusions. Throughout, the authors have emphasized interpretation of statistics in addition to traditional hand calculations to reflect a more modern understanding of statistics. New to the third edition are nearly double the number of activities, placed within the chapter to better facilitate online learning and homework. Software support now includes JASP and jamovi in addition to IBM(r) SPSS(r), with software instructions available on the student and instructor websites"-- Provided by publisher.