D) .05 ± 0.032. An SRS of 100 flights of a large airline (call this airline 1) showed that 64 were on time. An SRS of 100 flights of another large airline (call this 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. 19. Referring to the information a 95% confidence interval for the difference p1 – p2 is A) –0.16 ± 0.062. B) –0.16 ± 0.122. C) –0.16 ± 0.103. D) 0.16 ± 0.062. 20. Referring to the information above, is there evidence of a difference in the on-time rate for the two airlines? To determine this, you test the hypotheses H0: p1 = p2, Ha: p1 p2. The P-value of your test of the hypotheses given is A) between .10 and .05. B) between .05 and .01. C) between .01 and .001. D) below .001. Answer Key 1. C 2. A 3. B 4. A 5. B 6. B 7. D 8. A 9. B 10. B
D) .05 ± 0.032. An SRS of 100 flights of a large airline (call this airline 1) showed that 64 were on time. An SRS of 100 flights of another large airline (call this 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. 19. Referring to the information a 95% confidence interval for the difference p1 – p2 is A) –0.16 ± 0.062. B) –0.16 ± 0.122. C) –0.16 ± 0.103. D) 0.16 ± 0.062. 20. Referring to the information above, is there evidence of a difference in the on-time rate for the two airlines? To determine this, you test the hypotheses H0: p1 = p2, Ha: p1 p2. The P-value of your test of the hypotheses given is A) between .10 and .05. B) between .05 and .01. C) between .01 and .001. D) below .001. Answer Key 1. C 2. A 3. B 4. A 5. B 6. B 7. D 8. A 9. B 10. B