Project #26720 - Statistics

The project is below:

 

There has recently been a large controversy around an article published on the blog http://fivethirtyeight.com/  about damages due to climate change ("Disasters Cost More Than Ever - But Not Because of Climate Change").  In a nutshell, this article's claim is that the global increase in damages from natural disasters has nothing to do with an increase in the number or severity of disasters, and everything to do with an increase in national and global GDP's.  This is not some denialist diatribe against climate science, but is rather a thoroughly researched article based on sound data, and was posted by Roger Pielke Jr., a respected environmental scientist as professor at the Centre for Science and Technology Policy Research in Boulder, CO.

 

Partially due to the respectable credentials of the author, this article caused such a firestorm in the climate reporting community that the editor in chief of the fivethirtyeight blog (one Nate Silver) commissioned a reply to the article from MIT meteorology professor Kerry Emanuel  that posted on March 31 ("MIT Climate Scientist Responds to Disaster Costs and Climate Change")

 

These are both extremely well-reasoned and, in their own ways, valid arguments for two opposing points of view.  Both are based on statistical arguments - many of which we have been discussing in class. R ead both of these articles and submit a short analysis of your assessment of the validity of the authors' arguments - with a particular eye toward identifying specific applications of concepts we have discussed in class, and critiquing how they were used. These concepts include ANOVA, hypothesis testing, linear regression, inferential, z and t distribution etc. Mst concepts of Statistics.

 

In order to receive full credit, I'll be looking for at least four examples of concepts from class.  Also, the paper should show that you actually read the articles and thought about how the statistics were used - not just a list of concepts but a thoughtful analysis of how well they were used.

Subject Mathematics
Due By (Pacific Time) 04/13/2014 12:00 am
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