This project looks to understand how different user types of the New York City's bike share program enjoy their ride. Specifically, the trip duration comparing Subscribers and Customers when they unlock a bike from its station. The categories of user type are defined as follows:
Customer = 24-hour pass or 3-day pass user; Subscriber = Annual Member.
Our Hypothesis is that subscribers will take a shorter distance ride compared to customers, who we assume are looking for a more leisurely and exploratory ride.
In order to explore this hypothesis, we looked at the distribution of average ride length between the user types. We then used a t-test of two independent samples to identify if the difference between the two groups was significant.