Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

September 3, 2016

Predicting American Politics

Filed under: Government,Politics,R,Statistics — Patrick Durusau @ 4:04 pm

Presidential Election Predictions 2016 (an ASA competition) by Jo Hardin.

From the post:

In this election year, the American Statistical Association (ASA) has put together a competition for students to predict the exact percentages for the winner of the 2016 presidential election. They are offering cash prizes for the entry that gets closest to the national vote percentage and that best predicts the winners for each state and the District of Columbia. For more details see:

http://thisisstatistics.org/electionprediction2016/

To get you started, I’ve written an analysis of data scraped from fivethirtyeight.com. The analysis uses weighted means and a formula for the standard error (SE) of a weighted mean. For your analysis, you might consider a similar analysis on the state data (what assumptions would you make for a new weight function?). Or you might try some kind of model – either a generalized linear model or a Bayesian analysis with an informed prior. The world is your oyster!

Interesting contest but it is limited to high school and college students. Separate prizes, one for high school and one for college, $200.00 each. Oh, plus ASA memberships and a 2016 Election Prediction t-shirt.

For adults in the audience, strike up a prediction pool by state and/or for the nation.

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