I completed a graduate-level class project that tests various methods which replace missing data with best-guess values. I select three different methods and evaluate their accuracy and precision using a Monte Carlo simulation study, comparing the resulting imputations to the true data estimates.
Wikipedia data is boundless, insightful, and difficult to access for personal use. I developed a Streamlit app that utilizes Python's webscrapping features to read and write data files straight from Wikipedia tables.
I was challenged to manage a volleyball tourney with 29 teams, placed in 6 pools to play in an upper and a lower bracket. This post highlights how a stats nerd did this all using Google Sheets, Google Forms, and a little R coding.
I highlight my contributions on researching how different coaching cues impact young athletes' performance in a single-leg triple hop test. By comparing control, internal, and external focus cues utilizing experimental analysis techniques, the study found that external cues led to greater improvements in jump distance, showing it as an estimated 10.4% performance booster for enhancing athletic performance and coaching.
I partnered with the Instagram account UtahStats to learn about young adult culture in Provo/Orem. Here I share what I learned from the data regarding young adult lifestyle, college, dating, relationships, and other interesting topics, and how the analysis turned into my first ever marketable product.
As a research assistant at Brigham Young University, I was tasked with evaluating the data from a lab study evaluating nutrition and cognition. Here I explain my methods of analysis and the final results.
Random Forests and Bayesian Additive Regression Trees (BART) are both powerful, nonparametric tree-based ensemble methods that predict on both regression and classification tasks. In this post and repository, I explore how they compare with each other regarding model fit, tuning parameters, computation time, and accuracy.
The words of the biblical prophet Isaiah influenced over 35% of the Book of Mormon! This post utilizes generated data and illustrates the impact of Isaiah on the Book of Mormon using cross references, textual similarities, and Bible language.
The words of the biblical prophet Isaiah influenced over 35% of the Book of Mormon! This post illustrates how to generate data that identifies these cross refeerences, measures textual similarities, and draws from Bible terminology.