Welcome back! I hope everyone had a good spring break.
This week I was not able to do as much work as I hoped since I was moving houses and I had to unpack lots and lots of boxes. However, I did continue running regressions and two-sample t-tests and I found some cool results.
Here is an example of a two-sample t-test I ran. The two populations I used were the change in the percentage of the population experiencing symptoms of depression in rural populations and the same thing but for urban populations. As you can see here in the highlighted region, the p-value of this test is 0.0506. This means that the difference between these two populations is statically significant and there is an urban-rural divide in the increase in depressive symptoms during the pandemic, where people in urban populations experienced it more. I have discovered, through reading literature and running tests, that one possible reason for this is because urban areas had stricter covid-19 restrictions than rural areas(because of more cases) and people in urban areas were not used to this sudden isolation and job loss. On the other hand, rural populations were already somewhat isolated even prior to the pandemic. The urban states that had fewer covid-19 restrictions, like Maryland, had a fewer percentage of their population experiencing symptoms of depression. I realized that the reason there is an urban-rural divide is mostly because of the number of lockdown restrictions and unemployment, rather than anything else.
By next week, I hope to have finished running the tests and have some preliminary findings/conclusions for you all!