Modules By Topic

 

2023 Boston Marathon - Variability in Finish Times

histograms
summary statistics
bimodal data

Describing finish time for runners in the 2023 Boston Marathon

May 13, 2024
Ivan Ramler, Jack Fay
 

Expected Goals in Soccer

Logistic Regression
Feature Engineering
Under Sampling

An Introduction to Expected Goals Using Soccer

May 19, 2025
Colman Kim, Andrew Lee

FIRST Robotics Competition - Winning Chances

Brier score
prediction assessment

Evaluating the predicted winning probabilities against the actual outcomes.

Mar 5, 2024
 

Introduction to Elo ratings

Elo ratings
Brier score
prediction

An introduction to Elo ratings using NFL game outcomes.

Jul 9, 2024
Ron Yurko
 

Ironman Triathlete Performance

Scatterplots
Correlation

Gaining insight into the performance patterns of triathletes by exploring the relationships between swimming, biking, and running times.

Jul 23, 2023
Michael Schuckers, Matt Abell, AJ Dykstra, Sarah Weaver, Ivan Ramler, and Robin Lock
 

Ironman Triathlon (Canadian Females) - Multiple Linear Regression

Linear regression

Using Lake Placid Ironman triathlon results for female Canadian finishers to predict run times for participants based on both swim and bike times.

Feb 5, 2024
A.J. Dykstra, Ivan Ramler
 

Lacrosse Faceoff Proportions

Hypothesis testing
Single proportion

Using data from NCAA Div I lacrosse teams to explore the importance of winning faceoffs

Feb 5, 2024
Jack Fay, Ivan Ramler, A.J. Dykstra
 

Lacrosse PLL vs. NLL

Difference in two means

Comparing scoring rates between indoor and outdoor profesional lacrosse leagues.

Feb 5, 2024
Jack Cowan, Ivan Ramler, A.J. Dykstra, Robin Lock
 

League of Legends - Buffing and Nerfing

outliers
summary statistics

Investigating game play statistics for League of Legends champions in two different patches.

Feb 21, 2024
Ivan Ramler, George Charalambous, A.J. Dykstra
 

Linear Regression with Categorical Variables and ANOVA: Ace Rates in Tennis by Surface

ANOVA
Tennis

Using tennis to teach ANOVA and linear regression with categorical variables

Jan 22, 2025

MLB Injuries - Introductory Time Series Analysis

Time series plots
Time series decomposition
Residual analysis
Simple forecasting

Exploring MLB injury data through time series analysis and forecasting.

Nov 26, 2024
Jonathan Lieb
 

Marathon Record-Setting Over Time

Exponential distribution
Poisson process

Determining whether the setting of world records in the marathon is historically a Poisson process.

Jul 23, 2023
Nicholas Clark, Rodney Sturdivant, and Kate Sanborn
 

NASCAR Transformation Module

Linear regression
Transformations
Polynomial regression

Using NASCAR driver rating data to explore a series of transformations to improve linearity in regression.

Feb 5, 2024
Alyssa Bigness, Ivan Ramler, Jack Fay
 

Predicting NHL Shooting Percentages

linear regression

An Introduction to Simple Linear Regression

Jul 23, 2023
Sam Ventura
 

Stolen Bases

Normality tests
This lesson introduces students to the concept of normality tests (Shapiro-Wilks and Kolmogorov-Smirnov) and summation of normal distributions to investigate stolen base…
Jul 23, 2023
Andrew Lee and Jacob Hurtubise
 

Unbreakable Records in Baseball

Bernoulli distribution
Binomial distribution
Chi-Square Test
This lesson introduces students to the Bernoulli trial and Binomial Experiments to understand the probability of breaking one of the longest lasting records in baseball. We…
Jul 23, 2023
Andrew Lee and Fr Gabriel Costa

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