In your response, provide your own interpretation of their distribution graph.
Guided Response:
Your initial response should be a minimum of 300 words in length. Respond to at least two of your classmates by commenting on their posts.
In your response, provide your own interpretation of their distribution graph. Note any differences between your classmate’s interpretation and your own.
Though two replies are the basic expectation for class discussions, for deeper engagement and learning you are encouraged to provide responses to any comments or questions others have given to you. Continuing to engage with peers and the instructor will further the conversation and provide you with opportunities to demonstrate your content expertise, critical thinking, and real-world experiences with the discussion topics.
Abigail Kilgore
Abigail Kilgore
8:22pmMar 17 at 8:22pm1603828485879.jpeg
https://www.census.gov/library/visualizations/2020/comm/revenue-airports.html (Links to an external site.)Who – U.S Airports What – Government Revenue Where – United States Why – To better understand what states contribute the most to the government via airport revenue The data was generated by the U.S Census Bureau from the 2018 Annual Survey of State and Local Government Finances. Due to the fact that revenues are reported rather than it being a subjective survey, the data holds more credibility than other surveys from the Census. The Census is known for sending out surveys to households across the country allowing for a large pool of data to be collected. More information is necessary on how this data was collected to determine credibility and further analysis. The graph indicates large gaps between different states in the revenue from airports. It also shows that two states alone (California and New York) make up over ¼ of the revenue. The states with the highest revenue are also known for having the largest state populations and the most airports, which would logically make sense then that they would also have the most revenue. An interesting aspect of this graph is why they only chose to show the top 13 states. The percentage does not equal an even number nor is the U.S total representative of something, it is just information. By looking at this graph, I am inclined to say that the center is at 3.9%, but I know that is leaving out 37 other states and their revenues so it would not be an accurate statement to reflect the entire dataset. Assuming the other 37 states all fall on the lower end of the range, putting the majority data on the right side, it would be skewed left. I rotated the current data counterclockwise to make that assumption. Based off the data provided, the range is 14.4%, Q1 is 2.9%, Q3 is 8.8%, and IQR is 5.9%.The distribution of this bar chart is interesting because the x-axis is categorical therefore there is no “appropriate” way to organize the data. The way in which they did organize the data does tell the story that two states make up ¼ of the revenue and then add in 9 more and you’re over 75%. This could be helpful to assess airports that have an opportunity for potential revenue growth. One that comes to mind is Minnesota. Minnesota is a major airline hub for Delta and a smaller airline Sun Country. With that, there is significant air traffic for those connecting that there could be an opportunity for more equal revenue distribution. ReferenceGovernment Revenue From Airports. The United States Census Bureau. (2020, October 27). https://www.census.gov/library/visualizations/2020/comm/revenue-airports.html.
Answer preview to in your response, provide your own interpretation of their distribution graph.
APA
295 words
