Date Presented
Spring 5-2026
Document Type
Thesis
First Advisor
Dr. Danny Cline
Second Advisor
Dr. Paul McClure
Third Advisor
Dr. Ju Wang
Abstract
Artificial intelligence has become one of the fastest growing modern technologies, with publicly available AI chatbots becoming particularly popular since the 2022 launch of OpenAI’s ChatGPT. Due to their seemingly endless applications and unrivalled ease of use, these AI models present a new and often highly efficient method of approaching problems and increasing efficiency. However, with so many marketed models available, it is challenging to know which is the best one to use. This experiment tests five of the most popular AI models at performing data science tasks with given datasets, a common application of AI. These models are OpenAI’s ChatGPT, Anthropic’s Claude, Microsoft’s Copilot, Google’s Gemini, and Mistral’s Mistral Le Chat. The results reveal which model actually performs with the least errors, where the overall benchmark lies, and how capable AI is at performing statistical data analysis with minimal human input.
Recommended Citation
Rosine, Erik, "AI and Statistics: An Examination of the Capabilities of AI Models to Perform Data Science" (2026). Undergraduate Theses and Capstone Projects. 383.
https://digitalshowcase.lynchburg.edu/utcp/383