Based on the table of Percentage Points of the Chi-Square Distribution. the threshold is 3.84 for the alpha of 0.05. The chi-square score is 50.176 larger than the threshold value of 3.84. Thus, the null hypothesis is rejected.
Conclusion
The results of the Chi-square test and z-test both indicate I can reject the null hypothesis. However, I believe the Chi-square will be relatively robust because it works for comparison of two proportions, and z-test is work better with one sample and one distribution in order to see the goodness of fit between the observation and expectation. However, I also see the weakness of this analysis is to separate the age group better between age between (18 - 35), Also I might think about to choose subscriber type to process further analysis in a way to adjust the inference from the activities by tourists or visitors. In order to build a robust analysis. We can feed more monthly data, so we can test our hypothesis with the time series analysis.
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