📊 Modules by Statistics and Data Science Topic

Some modules include materials designed for specific software. Use the filter box to search for modules that include files for software, such as R, Python, ISLE, and Statkey.

(Note that many of modules are also software agnostic, or include materials that support multiple programs.)

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

Introduction to Regression Trees with Climbing Data

Prediction

Modeling

Regression Trees

Exploratory Data Analysis

Using climbing data to introduce regression trees and numeric prediction in Python

May 11, 2026

Izaan Khudadad

Python

Boxing Fighter Pay - Multiple Regression

Correlation

Multiple Regression

Summary Statistics

Linear Regression

Using boxing fighter pay data to introduce multiple regression, RMSE, and residual plots in Python

May 11, 2026

Izaan Khudadad

Python

Expected Goals in Lacrosse - Support Vector Machines

Logistic Regression

Support Vector Machines

Classification

Class Imbalance

Using Premier Lacrosse League shot location data to introduce expected goals models, logistic regression, support vector machines, and class imbalance

May 11, 2026

Gunnar Fellows

Python

Intro to SQL with SQLite: Exploring International Rugby Matches

Data Wrangling

Descriptive Statistics

SQL

SQLite

Using international rugby match data to introduce SQL, SQLite, and descriptive data analysis in Python

May 11, 2026

Izaan Khudadad

Python

Seaborn in Python Using English Premier League Data

Seaborn

Data Visualization

Exploratory Data Analysis

Using English Premier League data to introduce Seaborn visualizations in Python

May 11, 2026

Austin Hayes

Python

An Exploration of Pitch Sequencing in Baseball

Transition Matrices

Expectancy Matrics

Logistic Regression

Assessing pitch sequence through Transition Matrices

May 8, 2026

Max Felter, Matt Toner, and Rachel Gidaro

Predicting Allstars

F1 Score

Confusion Matrix

Model Assessment

Model Assessment through TPR/FPR, PPV/NPV, and F1 Score

May 8, 2026

Garrett Salisbury

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

Exploring Differences in Women’s World Cup Giant Slalom Run Times

Paired Data

Difference in Means

Statistics from two runs at a women’s World Cup alpine skiing giant slalom race at Mont-Tremblant

Mar 17, 2026

Emilia Agostinelli, Ivan Ramler, Robin Lock

NFL Point Spreads and Game Scores

Confidence Intervals

Hypothesis Testing

Paired Data

Proportions

A review of inference (tests and confidence intervals) for one and two sample problems involving means or proportions using point spreads for NFL games

Jul 26, 2025

Robin Lock

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

Pickleball: Comparing Reliability in Player Ratings for Doubles vs Singles Matches

Paired Data

Using matched pairs to determine a difference in mean reliability scores for pickleball player ratings in doubles vs singles matches.

Jul 10, 2025

Faith Rhinehart, Jessica Chapman, Robin Lock, 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

Statkey

Investigating The Difference in Olympic Figure Skating Scores Throughout the Years

ANOVA

Post Hoc Comparisons

Using ANOVA to explore differences in mean scores throughout the years of Winter Olympic Figure Skating

Jun 27, 2025

Faith Rhinehart, Jessica Chapman, Ivan Ramler

Clinton Canoe Regatta: Describing Distributions

Histograms

Boxplots

Normal Distributions

Skewness

Using data from the Clinton Canoe Regatta to compare distributios of finishing times for pro and non-pro style canoes.

Jun 20, 2025

Phoebe Jones, Ivan Ramler

Clinton Canoe Regatta: Graphing and Data Manipulation

Data Visualization

Data Wrangling

Using explore data from the Clinton Canoe Regatta using data wrangling and visualization.

Jun 17, 2025

Phoebe Jones, Robin Lock, Ivan Ramler

Raisin River Results and Oulier Impact/Exclusion

Linear Regression

Outliers

Investigate how water flow relates to race dropout rates in the Raisin River Race by fitting a linear regression model.

Jun 11, 2025

Phoebe Jones, Robin Lock

Learning the Basics of Pandas in Python Using 2024 MLB Team Batting Data

Dataframes

Summary Statistics

Importing and Reading Data

Data Filtering

Pandas

Using 2024 MLB team batting data to introduce the Pandas library in Python

Jun 2, 2025

Austin Hayes

Python

Does Footedness Impact Free-Kick Accuracy?

T-test

Exploratory Analysis

Does Footedness Impact Free-Kick Accuracy?

Sep 11, 2024

Bridget Ge, Claire Tsay

PGA - Scheffler Greens in Regulation (No R)

Sample Proportions

Single Proportion Confidence Intervals

Comparing Two Proportions

Exploring Probability Confidence Intervals with Golf Data

Jul 26, 2024

Jonathan Lieb

NCAA Women’s Gymnastics and Bootstrap Distributions

Bootstrap Methods

Confidence Intervals

Paired Data

Use bootstrap distributions and confidence intervals to compare beam scores between 1st and 4th place teams at the NCAA Women’s Gymnastics National Championship.

Jul 22, 2024

Vivian Johnson, Robin Lock

Statkey

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

PGA - Scheffler Greens in Regulation

Confidence Intervals

Single Proportion Hypothesis Testing

Comparing Two Proportions

Exploring Probability Confidence Intervals with Golf Data

Jul 18, 2024

Jonathan Lieb

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

Division Three Volleyball Timeouts

Proportions

Confidence Intervals

Investigating the effect of timeouts on the outcome of a set.

Jul 12, 2024

Ivan Ramler, Cassie Richter, Sierra Hess, Vivian Johnson

Exploring Justin Verlander’s pitch type by count

2D categorical data

chi-squared test

mosaic plots

An introduction to 2D categorical data

Jul 9, 2024

Ron Yurko

ISLE

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

R,Python