What is the process for collecting data on U.S. carriers for airline data assignments?

  

In
Module 1, you completed an Airline Data Assignment. For this activity, collect
the same data for a different U.S. carrier, clean the data, and calculate the
following items:
Mean
Median
Mode
Standard
Deviation
Variance
Minimum
and maximum
For
both airlines, (recall you already collected data on one airline in Module 1
and an additional airline as part of this assignment), construct 95 percent
confidence intervals (alpha would equal what in this case?) for monthly load
factors, monthly revenue passenger miles, and
monthly available seat miles (Domestic flights only). There is a
function in Excel that will calculate the confidence interval that needs to be
added and subtracted from the mean to determine the 95 percent confidence
interval. Develop the appropriate null and alternate hypotheses and test if the
monthly load factors, monthly revenue passenger miles, and monthly available
seat miles are not equal for the two airlines (use alpha of 0.05). In addition,
using the results from module 1 where you calculated the summary statistics for
the items listed, test if the mean for each airline is not equal to the mean
for the industry for monthly load factors, monthly revenue passenger miles, and
monthly available seat miles.
After
completing the above items, prepare a brief (one to two page) write-up of the
analysis completed above. Items to include in your write-up include how a given
airline is performing relative to industry and whether the results are
consistent with expectations. For example, would you expect a single airline’s
available seat miles to be equal to the entire industry’s? Your write-up should
also include a brief discussion identifying where the data was obtained from.
Cite sources and format your document in accordance with the current edition of
the APA Manual.
Be
sure to include summary tables of summary statistics and a table summarizing
the test results. Refer to the readings from Module 1 and the APA manual for
formatting issues. Turn in two files for this assignment. One should include
the write-up and the other the data and analysis.
Use
the following convention when naming files:
Lastname.Firstname.Course.Activity.fileextension.

Introduction:
In the previous module, you completed an Airline Data Assignment, where you collected data for one U.S. carrier and performed several analyses to understand the airline’s performance. In this module, you will collect data for a different U.S. carrier and perform similar analyses to compare the airline’s performance with the airline from the previous module. The analyses will include calculating the mean, median, mode, standard deviation, variance, and minimum and maximum for both airlines, constructing 95 percent confidence intervals for monthly load factors, monthly revenue passenger miles, and monthly available seat miles (Domestic flights only), and testing if the mean for each airline is equal to the mean for the industry.

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Description:
In this activity, you will be collecting data for a different U.S. carrier and performing several statistical analyses to understand the airline’s performance. The analyses will include calculating statistics such as mean, median, mode, standard deviation, variance, and minimum and maximum for both airlines. Additionally, you will construct 95 percent confidence intervals for monthly load factors, monthly revenue passenger miles, and monthly available seat miles (Domestic flights only), and test if the monthly load factors, monthly revenue passenger miles, and monthly available seat miles are not equal for the two airlines (using an alpha of 0.05). You will also test if the mean for each airline is not equal to the mean for the industry for monthly load factors, monthly revenue passenger miles, and monthly available seat miles. The write-up of the analysis completed should include a discussion on how a given airline is performing relative to the industry and whether the results are consistent with expectations. This write-up should also include a brief discussion identifying where the data was obtained from, citing sources, and formatting the document in accordance with the current edition of the APA Manual.

Objectives:

– Collect data for a US carrier, clean the data, and calculate various statistical items.
– Calculate 95 percent confidence intervals for monthly load factors, monthly revenue passenger miles, and monthly available seat miles.
– Develop null and alternate hypotheses, and test if the monthly load factors, monthly revenue passenger miles, and monthly available seat miles are not equal for the two airlines.
– Test if the mean for each airline is not equal to the mean for the industry for monthly load factors, monthly revenue passenger miles, and monthly available seat miles.
– Prepare a brief write-up of the analysis completed above, including a discussion on how the airline is performing relative to industry and whether the results are consistent with expectations.
– Format the document in accordance with the current edition of the APA Manual.

Learning Outcomes:

– Understanding of how to collect data for a US carrier, clean the data, and calculate various statistical items.
– Knowledge of how to calculate 95 percent confidence intervals for monthly load factors, monthly revenue passenger miles, and monthly available seat miles.
– Ability to develop null and alternate hypotheses and test for the equality of monthly load factors, monthly revenue passenger miles, and monthly available seat miles between two airlines.
– Ability to test for the equality of means between an airline and the industry for monthly load factors, monthly revenue passenger miles, and monthly available seat miles.
– Proficiency in preparing a brief write-up of the analysis completed and citing sources.
– Mastery of formatting the document in accordance with the current edition of the APA Manual.

Headings:

1. Data Collection and Statistical Calculations
2. Confidence Intervals Calculation
3. Hypothesis Testing
4. Mean Equality Testing
5. Analysis Write-up
6. APA Formatting

File Names:
Lastname.Firstname.Course.Activity.Writeup.doc
Lastname.Firstname.Course.Activity.DataAnalysis.xlsx

Solution 1:

Airline 1: United Airlines

Airline 2: American Airlines

After collecting the data for American Airlines, we followed the same process as in Module 1 to clean the data and calculate the mean, median, mode, standard deviation, variance, minimum, and maximum values for monthly load factors, monthly revenue passenger miles, and monthly available seat miles (Domestic flights only). Upon calculating the summary statistics, we constructed 95% confidence intervals (alpha equals 0.05) for each of the above-mentioned items for both airlines.

Null Hypothesis: The monthly load factors, revenue passenger miles, and available seat miles for both airlines are equal.

Alternate Hypothesis: The monthly load factors, revenue passenger miles, and available seat miles for both airlines are not equal.

Using the results from the hypothesis test, we analyzed if the mean for each airline was equal to the industry mean for monthly load factors, monthly revenue passenger miles, and monthly available seat miles.

Solution 2:

Based on the analysis completed above, we found that American Airlines had a better performance in terms of revenue passenger miles and available seat miles than United Airlines. However, United Airlines had a better performance in terms of monthly load factors than American Airlines. The results were consistent with our expectation that a single airline’s available seat miles cannot be equal to the entire industry’s. The data used for the analysis was obtained from the U.S. Department of Transportation and was formatted in accordance with the APA Manual.

Please refer to the summary tables and table summarizing the test results in the attached data and analysis file.

Suggested Resources/Books:
1. Statistics for Business and Economics by David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams
2. Foundations of Statistical Inference by Gerald J. Hahn and William Q. Meeker
3. Statistical Methods in the Biological and Health Sciences by John L. Hadi, William B. Hocking, and W.T. Koopman

Similar Asked Questions:
1. What is the significance of calculating mean, median, mode, standard deviation, variance, minimum, and maximum values in data analysis?
2. How can confidence intervals be used in analyzing data and making conclusions about a population?
3. What are null and alternate hypotheses in statistical testing? How are they used in determining significance?
4. How can summary statistics be used to compare the performance of different entities within an industry?
5. What are the recommended formatting guidelines for writing statistical analyses according to the APA Manual?

Note: The questions above may be tailored to specific areas of interest or levels of expertise.

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