Health Canada sets a standard for arsenic levels in drinking water to be no more than 10 ppb (parts per billion). You suspect that the arsenic levels in residential drinking water in your residential neighborhood are, on average, different than the standard set by Health Canada. Let / be the mean level of arsenic, in ppb, in the drinking water of your residential neighborhood. (a) Select the statistical hypotheses to be tested. O A. Ho : # > 10 HA : p = 10 O B. Ho : A = 10 HA : p / 10 O C. Ho : X > 10 HA : X 10 OF. Ho : / 2 10 HA : p 10 (b) You take water samples from n = 34 randomly chosen residences in your neighborhood, and measure the amount of arsenic in each water-sample. The data, in parts per billion, is given below. 10.27, 12, 10.48, 4.9, 12.17, 7.16, 7.73, 9.67, 8.46, 9.3, 5.7, 10.2, 10.07, 10.12, 9.61, 9.6, 7.97, 9.34, 7.57, 10.21, 8.24, 8.25, 6.4, 9.95, 5.18, 8.52, 10.99, 11.21, 8.25, 9.72, 8.59, 10.55, 9.81, 10.5 Data from the sample, are saved in the Download .csv file. Find a 95% confidence interval for /, by Bootstrapping 1000 samples. Use the seed 7799 to ensure that R- Studio "randomly" samples the same "random" samples as this question will expect. Use at least 4 digits after the decmial if rounding. You can do this by including the code, you can copy it into your R-Studio to bootstrap your samples. RNGkind (sample.kind = "Rejection"); set.seed(7799); B=do(1000) * mean(resample(c(10.27, 12, 10.48, 4.9, 12.17, 7.16, 7.73, 9.67, 8.46, 9.3, 5.7, 10.2, 10.07, 10.12, 9.61, 9.6, 7.97, 9.34, 7.57, 10.21, 8.24, 8.25, 6.4, 9.95, 5.18, 8.52, 10.99, 11.21, 8.25, 9.72, 8.59, 10.55, 9.81, 10.5), 34)); Minimum lower bound = when a=5% Maximum upper bound = when a=5% Conducting your statistical test at o = 5%, you should reject the null hypothesis. One can conclude from this sample that the mean amount of arsenic in your communitys residential drinking water does differ the standard set by Health Canada