Assuming a normal distribution, a student's t-test was used. The p-value is 2.2215059144228139e-53 which is less than α = 0.05, we reject the null hypothesis that the number of ‘cheap and good’ F&B establishments is the same or higher in affluent neighbourhoods than the proportion of ‘cheap and good’ F&B establishments as compared to less affluent neighbourhoods in NYC.
5. Conclusions:
As opposed to what i thought initially, there did not seem to be a strong correlation between number of good and cheap YELP listed establishments and Median Rent of Neighbourhoods. 
 
6. Future work:
More data would need to be collected and instead of Median Rent, median household income can be used as a better proxy. 
7. Links:
https://github.com/Klo-e/PUI2018_kyn227/blob/master/ExtraCredit%20(1)%20.ipynb
https://github.com/Klo-e/PUI2018_kyn227/blob/master/ExtraCredit%20(2).ipynb
 
Bibliography
Are Poor Neighborhoods “Retail Deserts?” (Retrieved from https://lusk.usc.edu/sites/default/files/research_briefs/are-poor-neighborhoods-retail-deserts.pdf)
Quantifying Retail Agglomeration using Diverse Spatial Data (Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511147/)
Neighbourhoods in Brief (Retrieved from https://www.frommers.com/destinations/new-york-city/neighborhoods-in-brief)
I could have done better analysis..but the data wrangling took up way too much time it was a nightmare;(