answer without calculations, output. or explanations may result in a zero for that question. There are three {3) questions. If you collaborated with other student{s) please list their names at end of your exam. Be sure your answers are neat. organized, and identied with each question. Save your answers as eithera Word document or pdf. If more than one le is submitted, only that last le submitted will be graded. If you offer more than one answer to a question, the answer that is wrong (or most wrong) will be the answer graded. The data [download Exam Data i) represent a random sample of airline data of all airlines that have been operating since at least 1985 and through 2019. The data descriptions are as follows: Airline: Name of the airline Seat-Miles: Available seat miles own every week per one trillion miles |ncidents_1: Total number of accidents recorded during time-period 1 |ncidents_2: Total number of accidents recorded during time-period 2 For all analyses use an alpha value of 10% and condence level of 90%. Also. for each problem provide an explanation as to why you chose that particular statistical method to answer the question. Question 1: Provide an analysis to see if there is a difference in average incidents between the two periods for all airlines. State in terms of the problem any statistical decision error you could have made. Question 2: Provide an analysis to determine if more than 10% of airlines y more than one trillion seat-miles per week. State in terms of the problem any statistical decision error you could have made. Question 3: Provide an analysis to estimate the average seat-miles [in trillion miles) that all airlines y per week. State in terms of the problem any statistical decision error you could have made. Airline Seat-Miles Incidents Incidents 2 Iberia 0.728994 4 5 Turkish Air 1.209249 8 8 Royal Air N 0.183743 5 3 Gulf Air 0.187269 LATAM 0.93777 7 All Nippon 1.14409 KLM 1.164798 Cathay Par 1.604665 0 2 Air Canada 1.159015 2 2 Ethiopian , 0.303577 25 5 Alitalia 0.433725 7 4 American 3.24875 21 17 Aeroflot 0.744199 76 6 Condor 0.259722 2 0 Korean Air 1.077782 12 TACA/Avia 0.161167 3 1 Thai Airwa 1.058072 8 2 United / C 4.436149 19 14 Egyptair 0.346539 4 Hawaiian / 0.306881 SAS 0.424379 6 EI Al 0.208438 Malaysia A 0.645711 3 3 Air New Ze 0.441282 3 5 China Airlil 0.505309 12 N