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ANOVA (1)

Bernoulli distribution (1)

bimodal data (1)

Binary Data (1)

Binomial distribution (1)

Brier score (2)

Chi-Square Test (1)

confounding variable (1)

Correlation (1)

Difference in two means (1)

distribution and skewness (1)

dplyr (1)

Elo ratings (1)

Exponential distribution (1)

Feature Engineering (1)

filtering (1)

grouping and summarizing (1)

histograms (1)

Hypothesis testing (1)

Linear regression (2)

linear regression (1)

Logistic Regression (2)

mutating (1)

Normality tests (1)

outlier detection (1)

outliers (1)

Poisson process (1)

Polynomial regression (1)

prediction (1)

prediction assessment (1)

Residual analysis (1)

Scatterplots (1)

Simple forecasting (1)

Single proportion (1)

summary statistics (3)

Tennis (1)

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Under Sampling (1)

📊 Modules by Statistics and Data Science Topic

MMA Inter-rater Reliability Data Analysis

What do mixed martial arts, figure skating, medical diagnoses, and essay grading all have in common? Not much on the surface; except they all use human judges to evaluate or…

BlackJack Logistic Regression

Logistic Regression

Binary Data

An Introduction to Logistic Regression Using BlackJack

Andrew Tran, Nicholas Clark

Olympic Rowing Medals Between 1900 and 2022 - Data Wrangling

dplyr

filtering

grouping and summarizing

mutating

Arranging data to analyze the total number of medals and the weighted points for nations competing in rowing events in the Summer Olympic Games between 1900 and 2022.

Abigail Smith, Robin Lock, Ivan Ramler

Olympic Rowing Medals Between 1900 and 2022 - Summary Statistics

distribution and skewness

outlier detection

summary statistics

confounding variable

The total number of medals and the weighted points for nations competing in rowing events in the Summer Olympic Games between 1900 and 2022.

Abigail Smith, Ivan Ramler, Robin Lock

Expected Goals in Soccer

Logistic Regression

Feature Engineering

Under Sampling

An Introduction to Expected Goals Using Soccer

Colman Kim, Andrew Lee

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

Zachary O. Binney, Heyi Yang

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.

Introduction to Elo ratings

Elo ratings

Brier score

prediction

An introduction to Elo ratings using NFL game outcomes.

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.

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

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

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

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

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

Predicting NHL Shooting Percentages

linear regression

An Introduction to Simple Linear Regression

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

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