Flying Home for the Holidays Does the airline you choose affect when you'll arrive at your destination? The dataset DecemberFlights contains the difference between actual and scheduled arrival time from 1000 randomly sampled December flights for two of the major North American airlines, Delta Air Lines and United Air Lines. A negative difference indicates a flight arrived early. We are interested in testing whether the average difference between actual and scheduled arrival time is different between the two airlines. Click here for the dataset associated with this question. Use the 2nd edition data. Click here to access StatKey. Let group 1 be Delta flights and group 2 be United flights. (a) State the null and alternative hypotheses. :: < :: > :: u :: µ2 : P1 :: P2 :: x :: x1 :: = :: - :: x2 :: p :: P1 : P2 :: r Ho: vs Ha:
Flying Home for the Holidays Does the airline you choose affect when you'll arrive at your destination? The dataset DecemberFlights contains the difference between actual and scheduled arrival time from 1000 randomly sampled December flights for two of the major North American airlines, Delta Air Lines and United Air Lines. A negative difference indicates a flight arrived early. We are interested in testing whether the average difference between actual and scheduled arrival time is different between the two airlines. Click here for the dataset associated with this question. Use the 2nd edition data. Click here to access StatKey. Let group 1 be Delta flights and group 2 be United flights. (a) State the null and alternative hypotheses. :: < :: > :: u :: µ2 : P1 :: P2 :: x :: x1 :: = :: - :: x2 :: p :: P1 : P2 :: r Ho: vs Ha:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Flying Home for the Holidays
Does the airline you choose affect when you'll arrive at your destination? The dataset DecemberFlights contains the difference between actual and scheduled arrival time from randomly sampled December flights for two of the major North American airlines, Delta Air Lines and United Air Lines. A negative difference indicates a flight arrived early. We are interested in testing whether the average difference between actual and scheduled arrival time is different between the two airlines.
![(b) Find the sample mean of each group, and calculate the difference in sample means.
Round your answers to one decimal place.
Mean for *Delta* = [Input Box]
Mean for *United* = [Input Box]
Difference in means = [Input Box]
(c) Use StatKey or other technology to create a randomization distribution and find the *p*-value.
Round your answer to three decimal places.
*p*-value = [Input Box]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbe755835-bbe1-43f7-a5b4-74188e8a48c4%2F622244d0-6fdb-400c-9d1c-8b21e86a17d0%2Fnuw2j4p_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(b) Find the sample mean of each group, and calculate the difference in sample means.
Round your answers to one decimal place.
Mean for *Delta* = [Input Box]
Mean for *United* = [Input Box]
Difference in means = [Input Box]
(c) Use StatKey or other technology to create a randomization distribution and find the *p*-value.
Round your answer to three decimal places.
*p*-value = [Input Box]
 for the dataset associated with this question. Use the 2nd edition data.
Click [here](#) to access StatKey.
Let group 1 be **Delta** flights and group 2 be **United** flights.
(a) State the null and alternative hypotheses.
Diagram Description:
- There is a set of buttons with different symbols and variables that can be used to fill in the hypotheses.
- Symbols include equal, not equal, less than, greater than, as well as statistical symbols like μ (mu), p, x̄ (x-bar), and others.
- In the hypothesis statement area, \( H_0 \) is the null hypothesis and \( H_a \) is the alternative hypothesis, with empty boxes to input symbols or variables for each.
\[ H_0: \, [\text{empty}] \quad \text{vs} \quad H_a: \, [\text{empty}] \]
This setup allows users to input specific statistical symbols or values to construct their hypotheses.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbe755835-bbe1-43f7-a5b4-74188e8a48c4%2F622244d0-6fdb-400c-9d1c-8b21e86a17d0%2Fy9awas_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Flying Home for the Holidays
Does the airline you choose affect when you'll arrive at your destination? The dataset **DecemberFlights** contains the difference between actual and scheduled arrival time from 1000 randomly sampled December flights for two of the major North American airlines, Delta Air Lines and United Air Lines. A negative difference indicates a flight arrived early. We are interested in testing whether the average difference between actual and scheduled arrival time is different between the two airlines.
Click [here](#) for the dataset associated with this question. Use the 2nd edition data.
Click [here](#) to access StatKey.
Let group 1 be **Delta** flights and group 2 be **United** flights.
(a) State the null and alternative hypotheses.
Diagram Description:
- There is a set of buttons with different symbols and variables that can be used to fill in the hypotheses.
- Symbols include equal, not equal, less than, greater than, as well as statistical symbols like μ (mu), p, x̄ (x-bar), and others.
- In the hypothesis statement area, \( H_0 \) is the null hypothesis and \( H_a \) is the alternative hypothesis, with empty boxes to input symbols or variables for each.
\[ H_0: \, [\text{empty}] \quad \text{vs} \quad H_a: \, [\text{empty}] \]
This setup allows users to input specific statistical symbols or values to construct their hypotheses.
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