UGHTO On time 833 5,539 500 4,262 Delayed 274 1,070 182 1,028 Dallas Denver Minneapolis Philadelphia Airline X Airline Y 438 669 6,032 481 405 577 201 4,885 Does it appear that a lurking variable might be at work here? How can you tell? Select the correct choice below and, if necessary, fill in the answer box OA. Yes, because the on-time rate for flights to Dallas is (Round to one decimal place as needed.) %, whereas the on-time rate for flights to Minneapolis is %. This is important since th B. Yes, because the on-time rate for flights to Denver is 83.8 %, whereas the on-time rate for flights to Philadelphia is 80.6 %. This is important sir (Round to one decimal place as needed.) OC. Yes, because there appears to be association in each of the given tables. OD. No, because there is no apparent pattern in the data. (c) Each cell of the following table shows the number of on-time arrivals for each airline at each destination. Dallas Denver Airline X Airline Y 366 467 5,039 500 Minneapolis 332 168 Philadelphia 303 3,959 Is the destination a lurking factor behind the original 2x2 table? Select the correct choice below and fill in the answer boxes to complete your choice. (Round to one decimal place as needed.) OA. Yes, because airline Y has a better on-time arrival rate in Denver ( % for X vs. B. No, because airline X has a better on-time arrival rate in Denver (% for X vs. OC. Yes, because airline Y has a better on-time arrival rate in Dallas (% for X vs. OD. No, because airline X has a better on-time arrival rate in Dallas ( % for X vs. % for Y). % for Y). % for Y) and in Philadelphia (% for X vs. % for Y) and in Philadelphia (% for X vs. % for Y) and in Minneapolis ( % for X vs. % for Y). % for Y) and in Minneapolis (% for X vs. % for Y). S pter 5 Association between categorical < Question 2, 5.1.53 Part 6 of 6 The data to the right compare the on-time arrival performance of two airlines, X and Y. The table shows the status of 13,688 arri Complete parts (a) through (c) below. (a) On the basis of this initial summary, find the percentages (row or column) that are appropriate to comparing the on-time arriva Airline X Airline Y 6.040 5,094 On time 82.1% 80.4% 1.316 1.238 Delayed 17.9 % 19.6 % (Round to one decimal place as needed.) Which airline arrives on time more often? OY X (b) The next two tables organize these same flights by destination. The first also shows arrival time and the second shows airline. Dallas On time Delayed 833 Denver 5.539 Minneapolis 500 Philadelphia 4.262 274 1,070 182 1.028 Airline X Airline Y Dallas 438 669 Denver Minneapolis Philadelphia 9 6.032 481 405 577 201 4.885 Does it appear that a lurking variable might be at work here? How can you tell? Select the correct choice below and, if necessary, fill in A. Yes, because the on-time rate for flights to Dallas is (Round to one decimal place as needed.) %, whereas the on-time rate for flights to Minneapolis is %. This is im B. Yes, because the on-time rate for flights to Denver is 83.8 %. whereas the on-time rate for flights to Philadelphia is 80.6 %. This (Round to one decimal place as needed.) Yes, because there appears to be association in each of the given tables. No, because there is no apparent pattern in the data. View an example Get more help search 9