Categories

All (16)

ANOVA (1)

Bernoulli distribution (1)

Binomial distribution (1)

Brier score (1)

Chi-Square Test (1)

Correlation (1)

Difference in two means (1)

Exponential distribution (1)

Hypothesis testing (1)

Linear regression (2)

Normality tests (1)

Poisson process (1)

Polynomial regression (1)

Residual analysis (1)

Scatterplots (1)

Simple forecasting (1)

Single proportion (1)

Tennis (1)

Time series decomposition (1)

Time series plots (1)

Transformations (1)

bimodal data (1)

histograms (1)

linear regression (1)

outliers (1)

prediction assessment (1)

summary statistics (2)

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

Ivan Ramler, Jack Fay

FIRST Robotics Competition - Winning Chances

Brier score

prediction assessment

Evaluating the predicted winning probabilities against the actual outcomes.

Ironman Triathlete Performance

Scatterplots

Correlation

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

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.

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

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.

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.

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

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.

Marathon Record-Setting Over Time

Exponential distribution

Poisson process

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

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.

Alyssa Bigness, Ivan Ramler, Jack Fay

Predicting NHL Shooting Percentages

linear regression

An Introduction to Simple Linear Regression

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…

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…

Andrew Lee and Fr Gabriel Costa