This project explores how sleep and health factors relate to each other using real-world data.
The goal was to test whether decisions about sleep and lifestyle have measurable effects on health and cognition.
I applied a range of statistical tests and models in R, including:
- t-tests
- z-tests
- Chi-square tests
- Multiple regression
The analysis did not find significant effects for:
- Gender on sleep quantity
- Gender on stress
- Alcohol on depression status
- Sleep quality, sleep quantity, or happiness on cognition scores
This project was conducted as an academic exploration of sleep and health data.
While the specific hypotheses were not supported, the work demonstrates the use of core statistical methods in R for real-world data analysis.