Introduction

Citibike is a bike sharing initiative in New York City in which users check out and return bikes at static kiosks throughout the five boroughs.  Citibike collects extensive data on rides, which include trip duration, start/end data, and user-demographic data which includes age.  I leverage Citibike's open source data to conduct my analysis, pulling data from October 2017.  
Null Hypothesis:
The average trip duration for people aged 43-60 year is greater than or equal to the average trip duration for people aged 18-35
Alternative Hypothesis:
The average trip duration for people aged 18-35 is greater than the average trip duration for people aged 43-60

Data

We upload Citbike data for October 2017 as a csv file and use numpy and pandas to clean and format the data properly for analysis.