Using the ggpubr package and islands data set, PLEASE in R provide the code and steps for the following a. For each sample, conduct a sign test to test the hypothesis that the median size of a landmass in the data set is 100 (this is with the data set units, it would correspond to 1,000,000 sq miles). Use a 95% significance level. Include the results from all 5 tests in your report. You should use the binom.test() function for these tests. b. Do the results of your sign tests differ for the different data subsets? Provide a brief intuitive explanation of your findings. c. For each sample, conduct a sign-rank test the hypothesis that the median size of a landmass in the data set is 100 (this is with the data set units, it would correspond to 1,000,000 sq miles). Use a 95% significance level. Include the results from all 5 tests in your report. d. Do the results of your sign-rank tests differ from the results of the sign test for each of your 5 samples? Provide a brief intuitive explanation of your findings. Which test do you think is better to test the hypothesis? Why?
Using the ggpubr package and islands data set, PLEASE in R provide the code and steps for the following
a. For each sample, conduct a sign test to test the hypothesis that the median size of a landmass in the data set is 100 (this is with the data set units, it would correspond to 1,000,000 sq miles). Use a 95% significance level. Include the results from all 5 tests in your report. You should use the binom.test() function for these tests.
b. Do the results of your sign tests differ for the different data subsets? Provide a brief intuitive explanation of your findings.
c. For each sample, conduct a sign-rank test the hypothesis that the median size of a landmass in the data set is 100 (this is with the data set units, it would correspond to 1,000,000 sq miles). Use a 95% significance level. Include the results from all 5 tests in your report.
d. Do the results of your sign-rank tests differ from the results of the sign test for each of your 5 samples? Provide a brief intuitive explanation of your findings. Which test do you think is better to test the hypothesis? Why?
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