Project: Grading system
Project information
- Category: Data Analysis
- Project date: June 2025
- Project description: In this project, the grades of 100 students were simulated, and different treatments were tested to identify those that were not significantly different from the control group (which converts accuracy percentages into decimal grades on a 1-to-4 scale). The goal was to develop a grading system with distinct categories while minimizing the loss of information about student performance.
- Python libraries: Pandas, numpy, random, matplotlib, seaborn, scipy
- Project URL: https://github.com/MiltonLSM/Grading-system
