3. Here are some data on Wright's FST (a measure of the amount of geographic varia- tion in a genetic polymorphism) in two populations of the American oyster, Crassostrea virginica. McDonald et al. (1996) collected data on FST for six anonymous DNA poly- morphisms (variation in random bits of DNA of no known function) and compared the FST values of the six DNA polymorphisms to FST values on 13 proteins from Buroker (1983). The biological question was whether protein polymorphisms would have gener- ally lower or higher FST values than anonymous DNA polymorphisms. McDonald et al. (1996) knew that the theoretical distribution of FST for two populations is highly skewed, so they analyzed the data with a non-parametric test. Carry out explorative data anal- ysis, do the test that compares the two groupsand provide a confidence interval for the difference in median of the two groups. gene class FST CV.J5 DNA -0.006 CVB1 DNA -0.005 6Pgd protein -0.005 Pgi protein -0.002 CVL3 DNA 0.003 Est-3 protein 0.004 Lap-2 protein 0.006 Pgm-1 protein 0.015 Aat-2 protein 0.016 Adk-1 protein 0.016 Sdh protein 0.024 Acp-3 protein 0.041 Pgm-2 protein 0.044 Lap-1 protein 0.049 CVL1 DNA 0.053 Mpi-2 protein 0.058 Ap-1 protein 0.066 CV.J6 DNA 0.095 CVB2m DNA 0.116 Est-1 protein 0.163 4. Using a non parametric test to check if the women's height are related to age in a pairwise fashion. Carry out the six possible pairwise comparisons as well, providing confidence intervals for each pair difference. For example, you need to compare 20-29 vs. 30-39 and 20-29 vs. 40-49 etc. As usual, start the analysis but doing exploratory data analysis. 20-29: 63.75 68.25 62.25 67.25 30-39: 64.75 67.5 64.75 66.5 40-49: 68.5 64.25 64.5 66 50-59: 65.25 64.75 67.5