Table Of ContentPrefaceChapter 1: Introduction to Statistics and Frequency DistributionsChapter 2: Central TendencyChapter 3: VariabilityChapter 4: z scoresChapter 5: The Distribution of Sample Means and z for a Sample MeanChapter 6: Hypothesis Testing with z-scoresChapter 7: Hypothesis Testing RulesChapter 8: Single Sample t testChapter 9: Related Samples tChapter 10: Independent Samples t TestChapter 11: Estimation with Confidence IntervalsChapter 12: One-Way Independent Measures ANOVAChapter 13: Two-Factor Independent Measures ANOVAChapter 14: Correlation and RegressionChapter 15: Goodness-of-Fit and Independence Chi-Square StatisticsChapter 16: Statistical AssumptionsAppendicesIndex
SynopsisEncouraging an active approach to learning statistics, this book targets students attention towards important statistical issues., An Introduction to Statistics is the ideal text for incorporating an active learning approach to the subject of introductory statistics. Authors Kieth A. Carlson and Jennifer R. Winquist carefully and clearly explain fundamental statistical concepts in short and easy-to-understand chapters. The workbook activities were empirically developed to both reinforce and expand on these fundamental concepts. These activities are self-correcting and allow students to discover and correct their own misunderstandings early in the learning process. This learner-centered approach enables students to take ownership of thier learning and "read with purpose." Based on contemporary memory research (e.g., the testing effect, embedded reading questions), the text is designed to actively engage students in learning statistics while they generate explanations, which leads to better long term retention. Along with carefully developed learning objectives, realistic research scenarios, practice problems, and self-test questions throughout, this text provides the clarity necessary for a thorough understanding of statistical concepts., In An Introduction to Statistics Kieth Carlson and Jennifer Winquist encourage an active approach to learning statistics. While the chapters in this book introduce basic and key concepts, this book is unique in the depth of its active pedagogical approach. Carefully placed reading questions throughout each chapter reinforce difficult concepts and guide student learning; 29 in-depth activities, each accompanied by learning objectives, carefully developed scenarios, problem sets, and quiz questions give students the opportunity to test or demonstrate their understanding of basic concepts while they read detailed explanations of more complex statistical concepts; and 15 sets of 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 forces 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 completing these activities, students are far more likely to understand the material than when they simply read the material.Carlson and Winquist's approach targets students attention toward important statistical issues. Further, this volume is based on contemporary research on memory and the testing effect which requires students to answer questions to facilitate their long term retention. The embedded questions throughout the chapters and activities are designed specifically to take advantage of this testing effect. Features: Self-Test Reviews that are designed to create a beneficial testing effect when students take examsEncourages purposeful reading and learning by providing students with very specific reading goals. Chapters contain embedded reading questions that help students extract key concepts from the text.Contains ad, An Introduction to Statistics is the ideal text for incorporating an active learning approach to the subject of introductory statistics. Authors Kieth A. Carlson and Jennifer R. Winquist carefully explain fundamental statistical concepts in short, easy-to-understand chapters, then use empirically developed workbook activities to both reinforce and expand on these fundamental concepts. These activities are self-correcting so students discover and correct their own misunderstandings early in the learning process. This approach enables students to be responsible for their own learning by helping them to "read with purpose. Based on contemporary memory research (e.g., the testing effect, embedded reading questions), the text is designed to actively engage students while they generate explanations, which leads to better long term retention. It also contains more traditional student aids including carefully developed learning objectives, realistic research scenarios, practice problems, and self-test questions.