
You're Smarter Than You Think: Statistics
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Safaa Dabagh, Santa Monica College
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Publisher: Safaa Dabagh
Language: English
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Attribution
CC BY
Table of Contents
- A Note Before We Begin
- How This Book Works
- What You'll Be Able to Do
- Part I: Producing Data - Where Numbers Come From
- Chapter 1: What's the Story in the Data?
- Chapter 2: Where Did This Data Come From?
- Part II: Describing Data
- Chapter 3: Show Me a Picture
- Chapter 4: The Typical & The Spread
- Part III: Probability & Distributions - The Bridge to Inference
- Chapter 5: What Are the Chances?
- Chapter 6: Predictable Randomness
- Chapter 7: From Sample to Truth
- Part IV: Estimating with Confidence
- Chapter 8: How Sure Are We?
- Part V: Testing Claims - the p-Value Approach
- Chapter 9: Testing What We Believe
- Chapter 10: Comparing Two Groups
- Chapter 11: When Three or More Groups Disagree
- Part VI: Categorical Data & Relationships
- Chapter 12: Counts, Categories, and Surprises
- Chapter 13: Drawing the Line
- Final Exam Prep: Mixed Practice
- A Final Note
About the Book
You're Smarter Than You Think: Statistics is a free, openly licensed introduction to statistics written for community college students and designed from the ground up for neurodivergent and anxious learners. Every section follows the same six-step rhythm (Read This First, Let's Talk About It, Now We Name It, Watch It Work, Your Turn, Check Your Voice), and every chapter opens with a Math Skills warm-up so a missing arithmetic step never derails a big idea. The book is organized around the student learning outcomes shared by community college statistics courses: describing data, estimating with confidence, and testing claims. It covers data and sampling, graphs, center and spread, probability, distributions, the Central Limit Theorem, confidence intervals, hypothesis testing, two-sample tests, ANOVA, chi-square, and regression. Four free Technology Companions (R and RStudio, jamovi, StatCrunch, and the TI-84) carry every method into whatever software a course uses, each keyed chapter by chapter and packaged with ready-made datasets. Graphs, printable work space, answer keys, per-part formula sheets, and a cumulative final-exam prep are included throughout.
About the Contributors
Author
Hi, I'm Safaa Dabagh — a Lebanese-American mother, educator, researcher, and lifelong learner.
I teach mathematics with a main focus on statistics across multiple institutions. This work grounds my research in reality. I see firsthand the challenges students face—financial stress, work obligations, family responsibilities, imposter syndrome, gaps in preparation.
I also see their incredible determination, creativity, and potential. My students inspire me every day. They're working parents, recent immigrants, first-generation college students, career changers, and dreamers. They deserve educational tools that meet them where they are and help them reach their goals.