Figure 2 shows that the proportion of rides taken during the week by subscribers is higher than that of customers. The opposite is true for the weekends. To determine the significance of this difference, a chi-squared test needs to be performed.
A chi-squared test was conducted and a chi-squared statistic of 1.969 was returned. Comparing to the chi-squared critical value for a significance level of 0.05, \(\chi_{critical}^2=3.84\), the computed statistic does not exceed the critical value, meaning that the null hypothesis cannot be rejected. Though four months provides plenty of data, test could be improved by taking samples from other times during the year as there could be seasonal bias that cannot be seen in these results.