Margin of Error Media
Margin of Error Media
Rigorous, accessible books on data, statistics, and analytics. Written for people who want to think clearly about evidence, not just run formulas.
The Books
Margin of Error
Statistics for a World That Needs Better Decisions
Every chapter opens with a real story — the Flint water crisis, Facebook's mood experiment, the resume discrimination study. Twelve case studies, eight interactive tools, twelve downloadable datasets, and complete R code walkthroughs for every chapter. Statistics taught as reasoning, not ritual.
Print: $39.99 Kindle: $14.99
Run the Numbers
Data Analysis with R and the Tidyverse
A practical introduction to data analysis in R — from importing and wrangling data to visualization and reproducible reporting. Built around the tidyverse, with code you can run in the browser.
Good Data Starts Here
Survey Design for Business Professionals
A concise guide to writing surveys that produce usable data — question design, measurement, sampling, and the mistakes that quietly ruin results.
Evidence First
Business Research Methods from Problem to Report
The complete research process — from formulating a question to writing up findings. For graduate students and working analysts who need studies that hold up to scrutiny.
Make It Visible
Visual Analytics and Data Storytelling
Data visualization from first principles — perception, design, interactivity, geographic mapping, dashboards, and the ethics of showing data honestly.
Why These Books Are Different
Stories first, formulas second. Every book opens with real cases where the methods changed what people believed. The tools serve the story, not the other way around.
Interactive tools you won’t find elsewhere. Purpose-built Shiny applications let you explore concepts by changing inputs and watching what happens. These are not animations — they are instruments you control.
Built for thinking, not memorizing. No prerequisite arms race. No formula sheets to cram. Each book teaches its subject as a mode of reasoning you will use long after the course ends.