Question

can someone explain?

Although delays at major airports are now less frequent, it helps to know which airports are likely to throw off your schedule. In addition, if your plane is late arriving at a particular airport where you must make a connection, how likely is it that the departure will be late and thus increase your chances of making the connection? The following data show the percentage of late arrivals and departures during August for 13 airports. Airport Atlanta Charlotte Chicago Cincinnati Dallas Denver Detroit Houston Minneapolis Phoenix Pittsburgh Salt Lake City St. Louis Late Arrivals (%) Late Departures(%) 24 20 30 20 20 23 18 20 18 21 25 18 16 20 29 19 23 19 16 17 Use the t test to test the following hypotheses for α-0.05 and-0.01. Do you accept or reject the Null hypotheses? What does it mean? Ho: β 1-0 Develop confidence interval foro,-0.05 and α-0.01, what is margin of error in each confidence level? Do you accept or reject above null hypotheses? Why? What can be type 1 and type 2 error in this problem? What should be your same size to keep both α and β at level of 5%?

Answer 1

Given Х-Х 4.846 0.38S 77-538 .385 -1-61S 5431 9.609 148 74 835 q17 2.609 6.840 1917 9.28S 30 9 000 0o0 80 Coo 23 34.000 .o00 1-000 18 18 .o00 189 4.385 So 6 47-14 86 9.000 9.609 2.600 11.4S6 6 462 lo-IS4 17 13 .000 Σy | Σ(x"X)'! Σ(y.yyje(х.z | 2x Camscanner

h) Given louo hupcdhesis α: Ο.os and α-Ο.01 n 13 Slope is O.1223 6. 71789 P-value 0oo00 Since, p-value c«:o0s ond o So, eiect Ho ecoad Conclude hat lireox zela- as e Ho exisb ekoeen x y at both CS CamScanner