Basketball

These modules use basketball data to teach topics in statistics and data science.

Berkson’s Bias: Why Offensive Rating and Height are Negatively Correlated in the NBA

Bias
Correlation
Linear Regression

Berkson’s Bias using NBA offensive rating and height

May 11, 2026
AUTHOR NAME

K-Means Clustering with NBA Data

Clustering
K-Means

K-means clustering with NBA data

May 6, 2026
Caleb Skinner, Tony Munoz, Michael M. B. Gallaugher, Rodney X. Sturdivant

NBA Wingspan & Performance

Webscraping
Data Visualization
Data Wrangling
Joining / Merging

Exploring wingspan and performance in the NBA by cleaning, merging and analyzing datasets.

Jul 10, 2025
Cooper Olney, Ivan Ramler

Sampling Distributions: Shai Gilgeous-Alexander 2024-25 Points

Sampling Distributions
Simulation
Central Limit Theorem

Explore the concept of sampling distributions using Shai Gilgeous-Alexander’s regular season scoring data to simulate playoff scenarios.

Jul 1, 2025
Cooper Olney, Ivan Ramler, Robin Lock

A Look at Paul George’s Missed Free Throws

Law of Large Numbers
Unconditional Probability
Conditional Probability

Estimating Probabilities from Data

Jul 18, 2024
Connor Bryson, Joshua Patrick

Introduction to regularized adjusted plus-minus (RAPM)

ridge regression
penalized regression
regularization
linear regression
adjusted plus-minus

An introduction to ridge regression in the context of estimating basketball player effects.

Jul 16, 2024
Ron Yurko, Quang Nguyen

Ordinal Logistic Regression Basketball Salary Prediction

Ordinal Regression

An Introduction to Ordinal Regression Using Basketball

Jul 1, 2024
John Beggs, Skyler Chauff

Do NBA Draft Picks Matter? Wrangling and Analyzing Player Minutes

ANOVA
Post Hoc Comparisons
Data Visualization
Data Wrangling
Tidyverse

This module involves cleaning and wrangling NBA draft data, creating visualizations, and using ANOVA with post hoc comparisons to examine differences in average minutes played across first-round pick groups.

Jul 1, 2024
Vivian Johnson, Robin Lock

Do NBA Draft Picks Matter? Exploring Player Minutes with ANOVA

ANOVA
Hypothesis Testing
Confidence Intervals
Summary Statistics
Data Visualization

This module uses NBA draft data to test for differences in average minutes played across early, mid, and late first-round picks using ANOVA and visualizations.

Jul 1, 2024
Vivian Johnson, Robin Lock
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