We could see from Fig. 7 that p-value is way smaller than 1 - our significance level ---- 5%, so we could confidently reject our null hypothesis and conclude that the ratio of men biking at morning over man biking the whole day is smaller than the ratio of woman biking at morning over woman biking the whole day. This was really an unexpected outcome since people always think that men bike more than women do. 

The Z-test led to a mighty credible outcome at last. The Citibike company could take into consideration in the future to add more stations in office areas or reduce the rent rate at morning and the reason for this phenomenon might also be women are more concerned about safety issue after the morning in that road harassment or reckless driving are still kind of common in the city. 

There was as well some weakness in this mini-project that needed to be solved in future studies. First, the sample was only one-month datasets which could have seasonal effects. Second, the sample was still not big enough.  But this is now still a good gap filling.