Community Cost Rural/Urban 1 1037.1926 R 2 854.9644 R 3 1077.8903 R 4 979.5815 R 5 1087.6967 R 6 1130.5576 R 7 791.5984 R 8 839.5995 R 9 1366.3680 R 10 1084.1956 R 11 1051.8420 R 12 1096.6825 R 13 910.6944 U 14 1337.9442 U 15 1124.6848 U 16 1257.4362 U 17 884.2373 U 18 976.7531 U 19 1158.1457 U 20 1225.0387 U 21 1081.0166 U 22 1300.6662 U 23 1038.8292 U 24 638.7010 U
1) Assuming you have no initial (prior) information, compute the posterior probability density of the difference in mean insurance cost for rural an urban communities.
2) Compute the posterior probability that the difference is greater than
zero.
3) Suppose now that additional data are available about home insurance
prices in 8 other states. Data consist of mean insurance prices for
urban and rural communities. Describe how you would use this information
to construct an informative prior distribution. Compute a new posterior
distribution using the prior distribution you constructed. Compare the
results with what you obtained in 1).
State Mean Rural Mean Urban 1 1008.8863 1110.4267 2 706.4740 1140.6411 3 1202.2712 976.8444 4 1291.4842 1196.7039 5 862.4730 987.9373 6 686.0438 917.4043 7 1236.7910 1218.4957 8 1135.3646 1255.94864) Discuss strengths and limitations of using information from other states in estimating the difference in mean insurance cost for rural an urban communities in your state.