Abstract - Dana and Charlie were curious as to whether per the common stereotype, men move about through the city  at night more than women. To investigate, we set up the work for data-driven inference based on CitiBike data. In formulating our Null and Alternative hypotheses (with confidence level of 0.05), we sought to reject the assertion that women ride (in proportion to total female ridership) equally or more so at night than men (in proportion to total male ridership). Originally we had chosen midnight (00:00am-01:00am) as a proxy hour for night time, but later expanded our scope to include the hours between 8pm and 7am upon suggestion of our reviewers. The histograms we plotted demonstrated that our hypothesis was correct - men do ride more at night. We ran a Chi Squared Test to assess independence. This test is applied when you have two categorical variables from a single population. It is used to determine whether there is a significant association between the two variables. Given our confidence level and resultant Chi Squared statistic, we were able to reject our null hypothesis.