Researchers at Purdue University and Wichita State University found that airlines are doing a better job of getting passengers to their destinations on time. AirTran Airways and Southwest Airlines were among the leaders in on-time arrivals with both having 88% of their flights arriving on time. But for the 12% of flights that were delayed, how many minutes were these flights late? Sample data showing the number of minutes that delayed flights were late are provided in the Excel Online file below. Data are shown for both airlines. Construct a spreadsheet to answer the following questions. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak X Open spreadsheet 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. μ₁ = population mean minutes late for delayed AirTran flights 2 population mean minutes late for delayed Southwest flights Ho: 1-2 @ 0 0 H₁:1₁-12 b. What is the sample mean number of minutes late for delayed flights for each of these two airlines? (to 2 decimals) (to 2 decimals) Air Tran Southwest c. Using a .05 level of significance, what is the p-value and what is your conclusion? p-value is We (to 4 decimals) reject Ho.
Researchers at Purdue University and Wichita State University found that airlines are doing a better job of getting passengers to their destinations on time. AirTran Airways and Southwest Airlines were among the leaders in on-time arrivals with both having 88% of their flights arriving on time. But for the 12% of flights that were delayed, how many minutes were these flights late? Sample data showing the number of minutes that delayed flights were late are provided in the Excel Online file below. Data are shown for both airlines. Construct a spreadsheet to answer the following questions. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak X Open spreadsheet 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. μ₁ = population mean minutes late for delayed AirTran flights 2 population mean minutes late for delayed Southwest flights Ho: 1-2 @ 0 0 H₁:1₁-12 b. What is the sample mean number of minutes late for delayed flights for each of these two airlines? (to 2 decimals) (to 2 decimals) Air Tran Southwest c. Using a .05 level of significance, what is the p-value and what is your conclusion? p-value is We (to 4 decimals) reject Ho.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Transcribed Image Text:Researchers at Purdue University and Wichita State University found that airlines are doing a better job of getting passengers to their destinations on time. AirTran Airways and
Southwest Airlines were among the leaders in on-time arrivals with both having 88% of their flights arriving on time. But for the 12% of flights that were delayed, how many minutes
were these flights late? Sample data showing the number of minutes that delayed flights were late are provided in the Excel Online file below. Data are shown for both airlines.
Construct a spreadsheet to answer the following questions.
Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak
X
Open spreadsheet
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.
μ₁ = population mean minutes late for delayed AirTran flights
μ₂ population mean minutes late for delayed Southwest flights
Ho: 1-2
0
H₁ : ₁ - 2 ↑ 0
b. What is the sample mean number of minutes late for delayed flights for each of these two airlines?
Air Tran
Southwest
c. Using a .05 level of significance, what is the p-value and what is your conclusion?
p-value is
(to 4 decimals)
We
Ⓒ reject Ho.
(to 2 decimals)
(to 2 decimals)
Check My Work
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Transcribed Image Text:D2
1234567892
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456
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File
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A
AirTran
13
16
28
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110
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Home
99
41
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31
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101
9
68
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Insert
Arial
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Southwest
39
49
95
74
102
96
34
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40
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110
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74
25
94
66
56
82
45
+
Draw
с
Page Layout
✓10
B
Formulas
D
Data
Calculation Mode: Automatic Workbook Statistics
H
After reading these instructions delete all text in this shaded area.
E
F
V
Part d
Significance Level (Alpha)
Data
Can we reject the null hypothesis?
(Enter "Can" or "Cannot")
Review
Parts b&c
After reading these instructions delete all text in this shaded area.
Use the XLMiner Analysis ToolPak to conduct your t-Test analysis.
After deleting all text in this shaded area, set the output range in
the ToolPak to the top left cell of this area (D2).
Your t-Test output should fit into this shaded area.
View
0.05
Help
←
G
General
Formula
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#N/A
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Editing
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