. Boost Mobile 5G 7:40 AM 100% Z fast-1-prod-fleet02-xythos.content.blackboardcdn.com b. Next, I break age into the different age categories seen in exercise 3. I then use R to create a crosstab with a chi-square test to see if proportions of age groups vary meaningfully across different races. The results are shown below. (6 points) i. What proportion of White respondents are seniors? (1 points) ii. What proportion of Hispanic respondents are seniors? (1 points) iii. What proportion of White respondents are Young Adults? (1 points) iv. What proportion of Hispanic respondents are Young Adults? (1 points) v. If we choose a = 0.05, is there a statistically significant difference in age groups between different races and why? (2 points) Cell Contents N N / Row Total | ANES$age_cat ANES$race Young Adult Adult Middle Aged Senior Total White 401 698 1094 775 2968 0. 135 0.235 0.369 0.261 0.718 Black 76 120 133 66 395 0.192 0.304 0.337 0.167 0.096 Asian or Pacific Islander 26 35 52 23 136 0. 191 0.257 0.382 0.169 0.033 Hispanic 114 136 132 55 437 0. 261 0.311 0.302 0. 126 0.106 Other 34 50 87 27 198 0.172 0.253 0.439 0.136 0.048 Total 651 1039 1498 946 4134 Statistics for All Table Factors Pearson's Chi-squared test Chi^2 = 115.7379 d. f. = 12 p