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.