considering the relationship between state restriction policies and infection rates.

Using the Johns Hopkins University data FOR 2020 ONLY investigate for possible correlations between state restrictive/non-restrictive policies and infection rates. The data is for your chosen states which you will compare. Look at trends, not just individual data points. Consider that some periods might have different results than others. THERE ARE NO RIGHT OR WRONG ANSWERS as long as the analysis is done thoroughly. There may be a relationship or there may not be. This is strictly positive analysis and must be objective. Avoid overly stringent claims, like a caused b. Instead there appears/doesnt appear to be a correlation.

in Part 2 you listed factors that you held constant by assumption. In this element you will explain how those assumptions might bias your results. Might your outcome have been different if you didn impose the all else constant requirement. This is essentially a caveat to your results.

https://coronavirus.jhu.edu/data/state-timeline (Johns Hopkins University) – choose 2 states to compare

Last Completed Projects