Can someone help with this question, the data is added below.. Please help!!

(4) One research question that could be posed using the available data: "Do COVID-19 case rates differ significantly between the six NCHS classifications and, if so, how?" Essentially, we wish to see if urban rural classification has a significant effect on COVID-19 case rates.

Determine a method that would be appropriate for answering this research question. Using Stat Crunch and the available data, perform the statistical procedure deemed appropriate. Hint: You will need to go beyond the exploratory data analysis (i.e., summary statistics and visualizations) in Questions 1-3 above.

(i) What method did you use to answer the research question e.g., One-Sample t-Test for Means?

(ii) Why did you select this particular method to answer the research question?

(iii) In one to two complete sentences, summarize and interpret the relevant findings of your analysis in the context of the research question i.e., what do the findings suggest about the impact of urban-rural classification on COVID-19 case rates?

(iv) Consider and, then, discuss whether the results of your above analysis are or are not applicable currently.

C D E ange Centre Large Fringy Medium Small Miom Non Core IRL 11/2020 41.97 50 67 68.41 11/19/20 4107 64.17 57.45 11/18 20 64.71 11/17/20 41 75 11/16/20 17.65 61 56 11/15/20 16.49 41.04 45 01 61.13 62.71 11/14/20 35.2 19.46 4362 50.17 9 11/13/20 12 14 56.12 10 11/12/20 15.12 10 11/11/20 1 1.05 141 51 5 12 11/10/20 29.79 12 41 17.91 50 15 51.13 13 1 1/9/20 10 12 16.94 47.97 14 47 31 15 1W/7/20 17.11 13.72 16 1 1/6/20 31 06 40 89 41 59 11/5/20 24 41 67 1 1/4/20 21.56 12 60 17.41 39.60 11/3/20 20. 79 21.84 1/2/20 15 5 15 17 56 11/1/20 25 51 16 51 10/31/20 19.04 19195 36.43 10-30/20 19 24.56 10/29/20 31.79 10 91 11.71 10/27/20 17.72 17.35 12.18 1271 10/26/20 17.2 31 47 24.12 29.7 10/25/20 16.9 20.74 29.12 102420 16.60 15.69 20 24 10/71/20 15 8 1487 17 71 70 75 10/20/20 15.10 30.16 32 10/21/20 14.41 1412 25.98 26 47 20.79 10/20/20 1413 1409 26.14 26.18 34 NOV19/20 35 WVIR/20 11 47 MAT 10/1 7/20 13.05 13.32 18 01 11.72 37 10/16/20 12.67 13 31.90 27.13 NOV15/20 12 39 12 71 39 12 71 12 54 16.91 21.12 15.59 1013/20 11.98 16.75 41 DO/12/20 11,71 11.67 164 21.14 42 10/1 1.20 11.AT 1010/20 11.21 11.22 21.26 109/20 11.48 1099 15.27 19 8 22 14 45 108/20 10.55 10 79 15 09 19.19 19 57 31.59 10/7/20 11.39 10 17 14 53 10620 10.11 14.1 17.9 2016 105/20 10.97 1011 14.29 17.79 18 69 20.18 10 420 17.55 10/3/20 18 10 102/20 11.89 17.18 101./20 10.49 10103 13.94 175 19.99