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Homework answers / question archive / Project Fall 2018 One of the themes of this course is the interrogation of data
Project Fall 2018 One of the themes of this course is the interrogation of data. “Why do the data appear as they do? What story are they trying to tell?” In this project, I want you to run with that theme and interrogate some data and pose conjectures about the story the data are telling. In this project, I want you to use an existing statistical presentation that has been created to convey information about life expectancy and annual income for populations within countries around the world. The interesting parts of the analytical display are the interactive aspects, which allow the relationship of income and life expectancy to be explored over time for each country. Income is adjusted to make incomes comparable across the years. In addition, the size of the country’s population is indicated by the size of the point marker. You have the ability to play the data as a movie or manually slide over the years. This is a modern presentation of data, and with tools available such as R Shiny, this is the how we will interact with data in the future. What I want you to do is a little different for a mathematical statistics class. I want you to write a brief report, 5 pages maximum, in which you look to this data to identify events or time periods in a country’s development. Examine the data and see if you can identify unusual trends (e.g., life expectancy falling, income falling, meteoric growth in income or life expectancy). Then do a little research and read about the country. You may use Wikipedia for your own use to identify facts, but provide for me a better reference to support your points. Think in terms of wars, advances in medicine, shifts in the economic focus (e.g., technology, agriculture, mining). For example, if you look at Russia, you can clearly see the stagnant condition of the masses in terms of income and life-expectancy leading to the Bolshevik Revolution, the entry and withdraw from WWI, and the challenges of WWII. This was offset (for life-expectancy) by advances in medicine. Consider the contributions of Florence Nightingale, Alexander Fleming, or outside of medicine, Alan Turing, or any others you feel are relevant to the story the data are trying to tell. The 5 pages includes space for graphs to illustrate your findings. You may not use the United States. Any other country may be used. You may approach the project as a focus on one country or a compare and contrast for at most two. You need to (1) identify clearly the country or countries under study in an introduction, (2) identify the events or time periods of interest, (3) support how those events are time periods are presented in the data with small, but legible, screen shots that convey the change (maybe as a before and after display) in the data you believe is motivated by historical events, and (4) summarize your most interesting findings. I would suggest the structure to follow: Although I have described the project in terms of income and life expectancy, feel free to explore other variables on the x- or y-axis that you find interesting. But stick with just one set of variables. All have the same structure, two variables plotted against each other over time. I expect some will be more interested in other measures. Hint: I think you will find it easier to track measures that have been gathered over a long time-frame as there are more opportunities for historic events to disrupt the data. Source Statistical Presentation: Income related to Life Expectancy https://www.gapminder.org/tools/#$chart-type=bubbles I. Introduction II. Data Revealing History A. Event or Time Period 1 B. Event or Time Period 2 C. Event or Time Period 3 D. … E. … III. Summary References:
