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.
Kieth A. Carlson received his Ph.D. in Experimental Psychology with an emphasis in Cognitive Psychology from the University of Nebraska in 1996. He is currently Associate Professor of Psychology at Valparaiso University. He has published research on visual attention, memory, student cynicism toward college, and active learning. He enjoys teaching a wide range of courses including statistics, research methods, sensation and perception, cognitive psychology, learning psychology, the philosophy of science, and the history of psychology. Dr. Carlson was twice honored with the Teaching Excellence Award from the United States Air Force Academy. Jennifer R. Winquist is currently Associate Professor of Psychology at Valparaiso University. Dr. Winquist received her Ph.D. in Social Psychology from the University of Illinois at Chicago in 2000. She has published research on self-focused attention, group decision making, distributive justice, implicit attitudes, and active learning. Recently she has shifted her research program to focus on the teaching of statistics and research methods. Dr. Winquist regularly teaches a variety of courses in statistics and research methods.
Preface Chapter 1: Introduction to Statistics and Frequency Distributions Chapter 2: Central Tendency Chapter 3: Variability Chapter 4: z scores Chapter 5: The Distribution of Sample Means and z for a Sample Mean Chapter 6: Hypothesis Testing with z-scores Chapter 7: Hypothesis Testing Rules Chapter 8: Single Sample t test Chapter 9: Related Samples t Chapter 10: Independent Samples t Test Chapter 11: Estimation with Confidence Intervals Chapter 12: One-Way Independent Measures ANOVA Chapter 13: Two-Factor Independent Measures ANOVA Chapter 14: Correlation and Regression Chapter 15: Goodness-of-Fit and Independence Chi-Square Statistics Chapter 16: Statistical Assumptions Appendices Index
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