Sentence examples for voting proportions from inspiring English sources

The clunky state map is good for gauging the electoral college at a glance, but a more accurate geopolitical rendering is one in which each state is a violet hue representing voting proportions or, even better, each county is a reddish or bluish purple.

It's because Charles Grassley and the other players drafting health care legislation can legally deposit funds from lobbyists that skews the voting proportions and mocks the spirit of compromise.

Because most states gave nominating delegates to both Mrs. Clinton and Mr. Obama based on vote proportions, as opposed to winner take all, the two campaigns were predicting on Tuesday that neither candidate would have a blowout lead, setting up an intensifying race as Louisiana, Washington, Virginia, Ohio and Texas hold nominating contests over the next four weeks.

The vote proportions don't vary much in toss-up states since the two major-party candidates will have close to the same proportion ― say, 52percentto48percentcent.

For tossup states, the variance in vote proportions is fairly low since the two major-party candidates will have close to the same proportion.

The model is predicting vote share proportions for each candidate, so we need information on how vote proportions have been distributed in the past that is based on some criteria that we can apply to this year's races.

For example, we pooled all Senate races rated "tossup" from 2004 to 2012 and calculated average and standard deviation of the actual vote proportions for each candidate.

We pooled all Senate races rated "toss-up" from 2004 to 2014 and calculated the average and standard deviation of the actual vote proportions for each candidate.

Clearly, final averages for vote proportions will mostly hover around 48 to 50percentt, but the standard deviation controls the width of the distribution, which is where differences are evident.

A confidence score for the complete prediction can then be calculated as (5) where is the average of all vote proportions>50% and the average of all vote proportions ≤50%.

The model is predicting vote share proportions for each candidate, so we need information on how elections have turned out in the past.