An srs of 100 flights of a large airline (airline 1) showed that 64 were on time. an srs of 100 flights of another large airline (airline 2) showed that 80 were on time. let p1 and p2 be the proportion of all flights that are on time for these two airlines. is there evidence of any difference between the on‑time rates for the two airlines? to determine this, you test the hypothesesh0: p1 = p2, ha: p1 ≠ p2.the p-value of your test of the hypotheses given is: a. below .001.b. between .10 and .05.c. between .05 and .01.d. between .01 and .001.

An annual marathon covers a route that has a distance of approximately 26 miles. winning times for this marathon are all over 2 hours. the following data are the minutes over 2 hours for the winning male runners over two periods of 20 years each. earlier period 14 12 15 22 13 10 19 13 9 14 20 18 16 20 23 12 18 17 6 13 recent period 7 11 7 14 8 9 11 14 8 7 9 8 7 9 9 9 9 8 10 8 (a) make a stem-and-leaf display for the minutes over 2 hours of the winning times for the earlier period. use two lines per stem. (use the tens digit as the stem and the ones digit as the leaf. enter none in any unused answer blanks. for more details, view how to split a stem.) minutes beyond 2 hours earlier period 0 1 2 (b) make a stem-and-leaf display for the minutes over 2 hours of the winning times for the recent period. use two lines per stem. (use the tens digit as the stem and the ones digit as the leaf. enter none in any unused answer blanks.) minutes beyond 2 hours recent period (c) compare the two distributions. how many times under 15 minutes are in each distribution