This material is for an introductory high school course in statistics and data science. Students learn statistics as modeling and learn to program in R. The first section of the book is about exploring variation in data. Students are introduced to R, data frames, and visualization of distributions and relationships. Topics include measurement, histograms, box plots, scatter plots, contingency tables, and descriptive statistics. The second section of the book is about how to model variation in data. Students are introduced to modeling, and building models with single predictors. Topics include ANOVA, simple regression, correlation, model predictions, and sum of squares. Throughout the online interactive materials, students practice making connections between key concepts in the domain of statistics and data science.

Online textbook can be easily integrated into your Learning Management System.