Confounder-based statistical literacy is designed for students in non-quantitative majors (English, History, Art, etc.) or for students in majors that deal primarily with observational studies or quasi-experiments (Sociology, Business Management, Education, Social Work, etc.).
Students study how statistics are constructed and manipulated. This course does not use or require Algebra or computers. Yet, students work multivariate problems that take into account the influence of a measured confounder. See GAISE 2016 update.
This textbook is the basis for a confounder-based Statistical Literacy course. This course * is required by:
- all new incoming students at New College of Florida.
- statistics majors at the University of New Mexico.
- * satisfies a math requirement in the New Mexico General Education curriculum.
- * is available as Math 1300 at the University of New Mexico
- * is available as STAN 2720 at New College of Florida
1 The story Behind the Statistics
2 Comparisons and CARE Solutions
3 Understanding Measurements
4 Describing Ratios: Percent and Percentage
5 Describing Ratios: Rate and Chance Grammar
6 Comparing Ratios
7 Interpreting Confusing Ratios
8 Randomness
9 Conclusion
10 Social Statistics: Tables, Graphs and Stories
11 Guide for Teachers
12 Key Word List by Chapter
13 List of Figures
14 List of Tables
15 List of Graphs and Maps
16 List of Stories
17 List of Charts and Images
18 List of Equations and Diagrams
19 Glossary
20 Index
21 Review of Named Ratios
Milo
Schield
Dr. Milo Schield is a Visiting Professor at the New College of Florida, a statistical literacy consultant with the University of New Mexico. His Ph.D. in Space Physics is from Rice University. Schield is a Fellow of the American Statistical Association (ASA), the US Coordinator for the International Statistical Literacy Project (ISLP), and the past President of the National Numeracy Network (NNN).
"I am convinced that the standard first course in statistics, which focuses on getting to significance testing and confidence intervals, isn't an appropriate aim for a lot of students. I think Schield's approach to statistical literacy is much closer to what is needed by journalists, by policy makers, by those in business, commerce or management and by most people in everyday life."
- Peter Holmes, Royal Statistical Society Centre for Statistical Education
"Today's students face an ongoing information revolution where each aspect of daily life is increasingly saturated with quantitative data - from health trackers, to dating apps, to recommendation algorithms for streaming platforms. Schield's Statistical Literacy fills a critical niche, teaching students about the process by which data become information, and about how a lack of care in that process can just as easily create disinformation."
- Fletcher G.W. Christensen, PhD, Asst. Professor of Statistics at the University of New Mexico
"A small educational movement advocating statistical literacy has emerged. Professor Milo Schield, Director of the W. M. Keck Foundation Statistical Literacy Project at Augsburg College in Minneapolis, is the movement's leading voice."
- Dr. Joel Best, author of More Damned Lies and Statistics