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Massachusetts: New WBUR/MassINC poll has Trump behind by 29 points


Results of a new poll administered by WBUR/MassINC were released. The poll asked respondents from Massachusetts for whom they will vote: Donald·Trump or Hillary·Clinton.

WBUR/MassINC poll results




Of those who answered the question, 60.0% said that they intend to vote for former Secretary of State Hillary Clinton, whereas 31.0% revealed that they would give their vote to billionaire Donald Trump.

The poll was carried out from September 7 to September 10 with 506 likely voters. Given the poll's sampling error of +/-4.4 percentage points, the spread between both candidates is statistically significant.

Putting the results in context

Single polls should be treated with caution, since they often include large biases. At least, one should examine how a poll's results compare to benchmark forecasts.

For the following analysis, we translate the candidates' raw poll numbers into shares of the two-party vote. The resulting figures are 65.9% for Clinton and 34.1% for Trump.

Comparison to other polls

Looking at an average of Massachusetts polls, Clinton's current two-party vote share is at 63.5%. In comparison to her numbers in the WBUR/MassINC poll Clinton's poll average is 2.4 percentage points lower. This deviation is within the poll's margin of error, which means that the poll is not an outlier.

The poll compared with PollyVote's forecast

The current PollyVote anticipates Clinton to gain 63.9% of the two-party vote in Massachusetts. This means that Polly's combined forecast is 2.0 points below her polling numbers. Again, a look at the poll's margin of error suggests that this difference is insignificant.

This article was automatically generated by the PollyBot, which uses algorithms developed by AX Semantics to generate text from data stored in our API. The exact dataset underlying this particular article can be found here.

Please let us know if you find any typos, missing words, or grammatical errors. Your feedback helps us to further improve the quality of the texts.

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