I have no idea how to answer the questions regarding the this data. The problem, table, and questions are attached. Any assistance will be greatly appreciated!

A researcher wants to see if urban, suburban and rural communities differ in terms of the support for food banks. The researcher randomly chose 4000 food banks from around the country and interviewed the director of each. Food banks were classified by community (urban, suburban, rural) and how much support the director said they received from the community (high, medium and low). Here is the table (this data is fictitious). Urban 500 26.4% Medium Support 700 36.8% Low Support 700 36.8% High Support 1900 Urban-high Urban-medium Suburban 250 27.8% 300 33.3% 350 38.9% Rural 350 29.2% 350 29.2% 500 41.6% 900 1200 Expected Frequency fo - fe (1100*1900)/4000=522.5500 - 522.5 = -22.5 (1350*1900)/4000=641.2 700 - 641.25= 58.75 5 (fo - fe) Total 1100 27.5% 1350 33.8% 1550 38.7% 4000 2 -2.252 = 506.25 3451.6 (fo - fe)2/fe 506.25/522.5=0.97 3451.6/641.25=5.3 8 Urban-low Suburban-high Suburban-medium Suburban-low Rural-high Rural-medium Rural-low Complete the table to calculate chi square. Calculate the degrees of freedom for the table. Can you reject the null hypothesis at the alpha = 0.05 level? Write an paragraph in which you report your results regarding the hypothesis test. Include statements of the null and research hypothesis, the chi square value, degrees of freedom and your conclusions. Write another paragraph in which you discuss and compare the social significance of the differences compared to the statistical significance