LEARN-STATS
INTRODUCTION TO STATISTICS:
AN ACTIVE LEARNING APPROACH
AN ACTIVE LEARNING APPROACH
We hope you find information here to help you learn about or teach statistics.
This website provides supplementary materials for our textbook. In the textbook we emphasize using continuous p values, effect sizes, and confidence intervals as tools for thinking critically about data in scientific contexts. These four types of information constitute four pillars of scientific reasoning, each of which help support sound scientific conclusions.
FOUR PILLARS
Hypothesis Testing with Continuous p values
Practical Importance with Effect Sizes
Population Estimation with Confidence Intervals
Research Methodology and Scientific Literature
FEATURES OF THIS BOOK
Focus on four pillars of scientific reasoning
Hypothesis testing with continuous p values
Practical importance with effect sizes
Population estimation confidence intervals
Interpret statistical results in a scientific context
Embedded reading questions
Detailed assignments applying the four pillars in research contexts
Can be used with any statistical software
YouTube channel with lectures and instructions for assignments
RESEARCH ON EFFECTIVENESS OF THIS APPROACH
We teach our courses using this textbook with a modified "flipped" classroom approach. Our data suggest that these changes improved our students' learning over a more traditional lecture based course.
Winquist, J. R. & Carlson, K. A. (2014). Flipped Statistics Class Results: Better Performance Than Lecture Over One Year Later, Journal of Statistics Education, 22:3, DOI: 10.1080/10691898.2014.11889717. PDF
Carlson, K. A. & Winquist, J. R. (2011). Evaluating an Active Learning Approach to Teaching Introductory Statistics: A Classroom Workbook Approach, Journal of Statistics Education, 19:1, DOI: 10.1080/10691898.2011.11889596. PDF
Our YouTube page has extensive playlists for each chapter in the book
Multiple full lectures for every chapter
Shorter special topics videos
Introductions for activities in the book
Statistical software instructions for jamovi, JASP, and SPSS