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 file LateFlights contains a sample of data from delayed flights showing the number of minutes each delayed flight was late for two different airlines, Delta and Southwest. Click on the datafile logo to reference the data. DATA file Delta Southwest Delta Southwest Delta Southwest Delta Southwest Delta 33 79 49 114 94 149 25 126 29 22 25 37 29 105 133 65 38 50 32 27 76 72 33 25 116 142 99 40 76 20 29 71 52 106 32 142 45 118 96 112 119 149 124 60 50 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. H1 = population mean minutes late for delayed Delta flights H2 = population mean minutes late for delayed Southwest flights H - Irl : °H b. What is the sample mean number of minutes late for delayed flights for each of these two airlines? Sample mean for Delta = (rounded to 2 decimals)

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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 file LateFlights contains a sample of data from delayed flights showing the number of minutes each delayed flight was late for two
different airlines, Delta and Southwest.
Click on the datafile logo to reference the data.
DATA file
Delta
Southwest
Delta
Southwest
Delta
Southwest
Delta
Southwest
Delta
33
79
49
114
94
149
25
126
29
22
25
37
29
105
133
65
38
50
32
27
76
72
33
25
116
142
99
40
76
20
29
71
52
106
32
142
45
118
96
112
119
149
124
60
50
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.
population mean minutes late for delayed Delta flights
H2 = population mean minutes late for delayed Southwest flights
Ho : Hi - H2 >
H. : H1 - H2
b. What is the sample mean number of minutes late for delayed flights for each of these two airlines?
Sample mean for Delta
(rounded to 2 decimals)
%3D
Transcribed Image Text: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 file LateFlights contains a sample of data from delayed flights showing the number of minutes each delayed flight was late for two different airlines, Delta and Southwest. Click on the datafile logo to reference the data. DATA file Delta Southwest Delta Southwest Delta Southwest Delta Southwest Delta 33 79 49 114 94 149 25 126 29 22 25 37 29 105 133 65 38 50 32 27 76 72 33 25 116 142 99 40 76 20 29 71 52 106 32 142 45 118 96 112 119 149 124 60 50 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. population mean minutes late for delayed Delta flights H2 = population mean minutes late for delayed Southwest flights Ho : Hi - H2 > H. : H1 - H2 b. What is the sample mean number of minutes late for delayed flights for each of these two airlines? Sample mean for Delta (rounded to 2 decimals) %3D
b. What is the sample mean number of minutes late for delayed flights for each of these two airlines?
Sample mean for Delta =
(rounded to 2 decimals)
Sample mean for Southwest
(rounded to 2 decimals)
c. Using a 0.05 level of significance, what is the p-value and what is your conclusion?
df =
(rounded down to nearest whole number)
%3D
p-value
(rounded to 4 decimals)
We cannot
v reject Ho.
Transcribed Image Text:b. What is the sample mean number of minutes late for delayed flights for each of these two airlines? Sample mean for Delta = (rounded to 2 decimals) Sample mean for Southwest (rounded to 2 decimals) c. Using a 0.05 level of significance, what is the p-value and what is your conclusion? df = (rounded down to nearest whole number) %3D p-value (rounded to 4 decimals) We cannot v reject Ho.
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