(3 points) A poll taken in 2019 stated that 29% of Calgarians attended the 2019 Calgary Stampede. Due to various factors, you claim that the percentage of Calgarians who will attend the 2022 Calgary Stampede will be different from the percentage that attended the 2019 Stampede. You take a sample of 115 Calgarians and find that 20 of them said they plan to attend the 2022 Stampede. Use this information to answer the questions below. a. Select the most appropriate null and alternative hypotheses for a hypothesis test of your claim above. O A. Ho : p # 0.29 Ha : p = 0.29 O B. Ho : x # 0.29 Ha : x = 0.29 O C. Ho : M = 0.29 Ha : M # 0.29 O D. Ho : p # 0.29 Ha : p = 0.29 O E. Ho : x = 0.29 Ha : x # 0.29 OF. Ho : P = 0.29 Ha : p # 0.29 O G. Ho : P = 0.29 Ha : p # 0.29 O H. Ho : M # 0.29 Ha : M = 0.29 b. Suppose you wish to compute a bootstrap confidence interval. Which of the following uses of the quantile( function would produce the correct interval bounds for a 92% bootstrap confidence interval? O A. c(quantile(B$mean, 0.04), quantile(B$mean, 0.96)) O B. c(quantile(B$mean, 0.04), quantile(B$mean, 0.92)) O C. c(quantile(B$mean, 0.02), quantile(B$mean, 0.98)) O D. c(quantile(B$mean, 0.08), quantile(B$mean, 0.92))c. You perform the bootstrap and end up with a 92% confidence interval of (0.11137, 0.23646). What conclusion can be made based on the above interval? Because the null value of ? captured by the confidence interval, we should ? Ho and conclude that the percentage of Calgarians who plan to attend the 2022 Calgary Stampede is ? from the percentage that attended the 2019 Calgary Stampede