A team tasked with improving IT services collected data on help desk tickets. In order to determine if ticket priority (Low, Medium, or High) influenced whether or not a single IT service representative could resolve the issue (Yes, No), they performed Chi Square analysis. Based on the results, we can say: Rows: Priority Columns: Single IT Rep? Yes No All Low 25 10 35 71.43 28.57 100.00 Medium 15 12 27 55.56 44.44 100.00 High 10 22 32 31.25 68.75 100.00 All 50 44 94 53.19 46.81 100.00 Cell Contents Count % of Row Chi-Square Test Chi-Square DF P-Value Pearson 10.923 2 0.004 Likelihood Ratio 11.204 2 0.004 Question 19Select one: a. There is no significant association between ticket priority level and whether or not a single IT service representative could resolve the issue. b. There is a significant association between ticket priority level and whether or not a single IT service representative could resolve the issue. c. A larger percentage of high priority tickets are resolved by a single IT service representative compared to low priority tickets. d. Both A and B e. Both A and C