Books
All three textbooks are free, open educational resources. Download, print, share, and adapt them under Creative Commons.
You're Smarter Than You Think
College Algebra for STEM Majors
A complete, neurodivergent-friendly College Algebra textbook — free for every student at Santa Monica College, West Los Angeles College, and anywhere else in the world.
Designed Differently — On Purpose
Traditional algebra textbooks assume you learn by reading definitions and memorizing procedures. This book assumes you're human. Every section starts with a story — a real-life moment that is the math concept, before we ever name it.
Story First
Every section begins with a real-world scenario. Math concepts are introduced through context, not definitions.
Consistent Rhythm
Every section follows the same 6-step structure. Your brain knows what's coming, so it can focus on the math.
Desmos Throughout
Every chapter has interactive Desmos explorations — see the math visually before calculating it.
Check Your Voice
Every section includes a metacognitive moment to notice — and talk back to — that inner critic.
Complete Answer Keys
Every practice problem has a worked solution. No hunting. No guessing.
Neurodivergent-Friendly
Designed for students who think differently — ADHD, dyslexia, anxiety, first-generation learners.
Table of Contents
Who Are You, Really?
Sets, Relations, and the Language of Math
Functions — Getting to Know Them
Notation, Arithmetic & Graphs
Lines, Curves & The Drama of Quadratics
Linear, Absolute Value & Quadratic Functions
Mastering Chapters 1-3
Integrated practice, answer keys & mastery check
The Cast Grows — Polynomials
Factoring, zeros, behavior & real-world applications
The Transformation Artists
Function Composition & Inverse Functions
The Growth Experts
Exponential & Logarithmic Functions
Mastering Chapters 4-6
Advanced function toolkit review
The Team Players
Systems of Equations & Matrices
The Shape Storytellers
Conic Sections: Circles, Ellipses, Parabolas, Hyperbolas
The Pattern Masters
Sequences, Series & Mathematical Induction
Complete Review & Formula Card
All nine chapters · Exam strategies · Tear-out formula card
Statistics in the Eye of a Nurse
A Clinical Approach to Data-Informed Practice
An introductory statistics textbook designed specifically for nursing and health sciences students at Joyce University of Nursing and Health Sciences. Every example, every dataset, every problem connects statistics to clinical practice.
Why This Book?
Most statistics textbooks use generic examples that feel disconnected from nursing practice. This book bridges that gap — every concept is taught through clinical scenarios that nurses encounter in their daily work.
Clinical Context
Every example uses real-world healthcare data — patient outcomes, medication dosages, vital signs, and clinical trials.
Evidence-Based Practice
Learn to read, interpret, and apply research findings to improve patient care.
Aligned with Sullivan 6e
Designed as a companion to Sullivan's Statistics: Informed Decisions Using Data, 6th Edition.
Complete Coverage
From descriptive statistics to hypothesis testing — everything you need for MAT 300.
Course: MAT 300 · Introduction to Statistics
Institution: Joyce University of Nursing and Health Sciences
Author: Safaa Dabagh
Applied Statistics Using R
A Rigorous First Course for the Life and Health Sciences
A complete applied-statistics textbook designed for MATH 205 at Loyola Marymount University. Rigorous treatment of statistical reasoning built on biology-primary examples, with integrated R workflows using the tidyverse throughout.
Why This Book?
Introductory statistics textbooks usually fall into one of two camps: brief enough for a semester but too shallow to build real intuition, or mathematically careful but disconnected from the biological questions students actually want to answer. This book is the third option — deep, rigorous prose that builds intuition before formalism, anchored in the clinical and life-sciences contexts where the methods get used.
Biology First
Every worked example comes from ecology, physiology, genetics, or public health. Numbers tell stories.
R + tidyverse Throughout
Every procedure is demonstrated in modern R. Students leave fluent in the idioms working scientists use.
Six Pedagogy Boxes
Definition, Result, Example, R Section, Watch Out, and Exercise boxes — colour-coded and consistent across every chapter.
Effect Size Everywhere
Cohen's d, eta-squared, and R-squared reported alongside every p-value. Significance is not importance.
Decision Guides
Every chapter ends with a step-by-step decision guide for choosing the right procedure on a new dataset.
Complete Reference
Four appendices: R function reference, formula sheet, statistical tables (Z, t, chi-squared, F), and dataset catalog.
Table of Contents
Chapters 1–6
Data, displaying, describing, estimating with uncertainty, probability, and the hypothesis-testing framework.
Chapters 7–10
Proportions, chi-squared goodness-of-fit, contingency analysis, and the normal distribution.
Chapters 11–13
One-sample and two-sample t-tests, confidence intervals, effect size, and non-parametric alternatives.
Chapter 15
One-way ANOVA, Tukey's HSD post-hoc comparisons, and the variance-partition intuition behind F.
Chapters 16–17
Pearson/Spearman/Kendall correlation and simple linear regression with full inference on the slope.
Reference Material
R function guide, formula sheet, statistical tables, and dataset catalog — designed to be flipped to during work.
Course: MATH 205 · Applied Statistics
Institution: Loyola Marymount University
Author: Safaa Dabagh
Edition: Spring 2026 · First edition
License & Usage
All three textbooks are free — and they stay free. The College Algebra and Statistics (Nursing) books are licensed under CC BY 4.0; the Applied Statistics Using R textbook is licensed under CC BY-NC-SA 4.0. You can download, print, share with your students, and adapt for your course — just credit the original author.
Download & Print
Print as many copies as you need for your students. No fees, no restrictions.
Share Freely
Post the PDF link, email it to colleagues, share it with other departments.
Adapt for Your Course
Remix sections, add your own examples, translate it — with attribution.
For Instructors
Interested in adopting any of these textbooks?
If you're teaching College Algebra, Introductory Statistics, or Applied Statistics with R, I'd love to connect. I'm open to developing Canvas or Brightspace course shells, homework sets, and sample exams, and the MATH 205 book comes with a complete instructor package (lectures, answer keys, homework, and Brightspace QTI quiz banks).