which coursekata textbook is right for me?

CourseKata Books for College

CourseKata offers three versions of our statistics textbook for college, each designed to serve different teaching contexts and pacing needs. 

  • Introductory Statistics with R: A Modeling Approach (ABC)
  • Advanced Statistics with R: A Modeling Approach (ABCD)
  • Accelerated Statistics with R: A Modeling Approach (XCD)

All three versions take a modeling-first approach to statistics, introduce students to R in an accessible way, and build strong connections between conceptual understanding, data analysis, and coding.

These textbooks are each built from shared content blocks—A, B, C, D, and X—each representing a few chapters of material. This guide explains what each content block means and how they combine into the books.

Understanding the Content Codes: A, B, C, D, and X

Each content code represents multiple chapters of the textbook. These codes help describe which material is included in each version of the book. 

A: Exploring Variation

4 chapters

  • Introduces students to R, data, and visualizations of distributions and relationships.
  • Topics include: measurement, sampling, tidy data, data visualizations (e.g., histograms, box plots, scatter plots, bar graphs, contingency tables), research methods, descriptive statistics

B: Modeling Variation

5 chapters

  • Builds foundational understanding of statistical models with a single predictor (categorical or quantitative).
  • Topics include: General Linear Model (GLM), model predictions, error (residuals, sums of squares), ANOVA, simple regression, correlation, proportion reduction in error (PRE), F-statistic, degrees of freedom 

C: Evaluating Models

3 chapters

  • Introduction to statistical inference rooted in computational methods (e.g., simulation, randomization, and bootstrapping)
  • Topics include: sampling distributions, t-test, p-value, F-test, permutation test, confidence intervals

D: Multivariate Models

4 chapters

  • Introduces models with multiple predictors, categorical and quantitative.
  • Topics include: multiple regression, factorial ANOVA, ANCOVA, main effects and interactions, partial correlation

X: Accelerated A + B‍

3 chapters

  • Covers the same core ideas from A and B but in a compressed format for faster-paced or advanced courses.

Which Book Is Right for You?

Here’s how the codes combine to form our three textbooks. Note that no prior experience with R assumed for any of the books, except XCD.

Introductory Statistics with R: A Modeling Approach (ABC)

  • Best for: One semester (or one-quarter) introductory statistics courses focused on building a strong foundation

Advanced Statistics with R: A Modeling Approach (ABCD)

  • Best for: Introductory statistics courses that also wish to introduce multivariate models

Accelerated Statistics with R: A Modeling Approach (XCD)

  • Best for: Advanced or compressed courses with more of an emphasis on inference and multivariate models; for use with students who have had a previous course in statistics using R 

Still not sure? Feel free to [contact us] or preview the textbooks [link].

Additional Resources

[Download a detailed list of course goals and learning objectives (PDF)]

[Download a mapping of traditional statistics topics and where they are covered in CourseKata (PDF)]

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