Abstract
The Citi Bike project in New York City was launched in 2013 and has since seen growth in usage throughout the city. In this experiment, we want to explore the age distribution of male and female bikers to examine how the Citi Bike delivery system can be better designed to serve user needs and attract more customers. Data cleaning and manipulation were implemented in Python. A null hypothesis significance test was conducted with a one tail z-score test. By designing the experiment with rigorous scientific theories and reproducible mechanism, the result shows middle-aged men are less likely to ride a bike than middle-aged women.