Using a 0.05 level of significance, what is your conclusion? Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay time.Do not Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay time. Reject H0. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.Do not reject H0. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.
Using a 0.05 level of significance, what is your conclusion? Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay time.Do not Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay time. Reject H0. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.Do not reject H0. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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The success of an airline depends heavily on its ability to provide a pleasant customer experience. One dimension of customer service on which airlines compete is on-time arrival. The tables below contains a sample of data from delayed flights showing the number of minutes each delayed flight was late for two different airlines, Company A and Company B.
Company A
34 | 59 | 43 | 30 | 3 |
32 | 42 | 85 | 30 | 48 |
110 | 50 | 10 | 26 | 70 |
52 | 83 | 78 | 27 | 70 |
27 | 90 | 38 | 52 | 76 |
Company B
44 | 65 | 42 | 34 | 67 |
104 | 46 | 29 | 37 | 84 |
76 | 44 | 32 | 49 | 64 |
43 | 36 | 32 | 64 | 64 |
(a)
Formulate the hypotheses that can be used to test for a difference between the population mean minutes late for delayed flights by these two airlines. (Let ?1 = population mean minutes late for delayed Company A flights and ?2 = population mean minutes late for delayed Company B flights.)
H0: ?1 − ?2 ≠ 0
Ha: ?1 − ?2 = 0
H0: ?1 − ?2 < 0
Ha: ?1 − ?2 = 0
H0: ?1 − ?2 ≤ 0
Ha: ?1 − ?2 > 0
H0: ?1 − ?2 = 0
Ha: ?1 − ?2 ≠ 0
H0: ?1 − ?2 ≥ 0
Ha: ?1 − ?2 < 0
(b)
What is the sample mean number of minutes late for delayed flights for each of these two airlines?
Company A minCompany B min
(c)
Calculate the test statistic. (Round your answer to three decimal places.)
What is the p-value? (Round your answer to four decimal places.)
p-value =
Using a 0.05 level of significance, what is your conclusion?
Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay time.Do not Reject H0. There is statistical evidence that one airline does better than the other in terms of their population mean delay time. Reject H0. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.Do not reject H0. There is no statistical evidence that one airline does better than the other in terms of their population mean delay time.
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