CourseKata for College

CourseKata’s Statistics Textbooks

Depending on your students’ level of statistical knowledge and the classes that you teach, we’ve created three versions of the Statistics online textbooks to suit your needs.

A Modern Approach

CourseKata takes a modern approach that emphasizes modeling, making connections, and computational thinking to help students build in-demand skills and knowledge.

Interactive Exercises

Embedded interactive exercises and formative assessment questions generate detailed data related to students' learning over time for instructors and for researchers to make incremental improvements to the books.

Real-Life Application

Each textbook includes a gentle introduction to “R” — a coding language that is used in the real world by statisticians and data scientists. Teachers and students alike find this approach accessible and powerful.

Interdisciplinary Approach

Our interdisciplinary approach gives all students a chance to re-engage with math and learn new statistics concepts from the ground up, while building a foundation for future learning.

Three Versions of the CourseKata Textbook for a Range of Teaching Needs

From introductions to the coding language R and basic statistical models, to inferential and multivariate content, we have a book to fit your class. Explore the versions below and read about their differences.

Download a mapping of traditional statistics topics and where they are covered in CourseKata.

Book 1

Introductory Statistics with R: A Modeling Approach

Includes CourseKata's gentle introduction to R, data visualization and descriptive statistics, basics of statistical modeling (e.g., one-way ANOVA and simple regression), and an approach to inferential statistics grounded in simulation, randomization, and bootstrapping.

Book 2

Advanced Statistics with R: A Modeling Approach

Includes CourseKata's gentle introduction to R, data visualization and descriptive statistics, basics of statistical modeling (e.g., one-way ANOVA and simple regression), and an approach to inferential statistics grounded in simulation, randomization, and bootstrapping.

Plus additional chapters on multivariate models.

Book 3

Accelerated Statistics with R: A Modeling Approach

A faster-paced version of the Advanced book — which includes CourseKata's gentle introduction to R; data visualization and descriptive statistics; basics of statistical modeling (e.g., one-way ANOVA and simple regression); an approach to inferential statistics grounded in simulation, randomization, and bootstrapping; and additional chapters on multivariate models.

More time is available to teach for inferential and multivariate content.

01
Introductory Statistics with R: A Modeling Approach
Book 1

Introductory Statistics with R: A Modeling Approach

Includes CourseKata's gentle introduction to R, data visualization and descriptive statistics, basics of statistical modeling (e.g., one-way ANOVA and simple regression), and an approach to inferential statistics grounded in simulation, randomization, and bootstrapping.

02
Advanced Statistics with R: A Modeling Approach
Book 2

Advanced Statistics with R: A Modeling Approach

Includes CourseKata's gentle introduction to R, data visualization and descriptive statistics, basics of statistical modeling (e.g., one-way ANOVA and simple regression), and an approach to inferential statistics grounded in simulation, randomization, and bootstrapping.

Plus additional chapters on multivariate models.

03
Accelerated Statistics with R: A Modeling Approach
Book 3

Accelerated Statistics with R: A Modeling Approach

A faster-paced version of the Advanced book — which includes CourseKata's gentle introduction to R; data visualization and descriptive statistics; basics of statistical modeling (e.g., one-way ANOVA and simple regression); an approach to inferential statistics grounded in simulation, randomization, and bootstrapping; and additional chapters on multivariate models.

More time is available to teach for inferential and multivariate content.

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