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Massachusetts: 29 points lead for Clinton in latest WBUR/MassINC poll


Results of a new poll conducted by WBUR/MassINC were released. The poll asked participants from Massachusetts for whom they will vote: Democrat candidate Hillary Clinton or Republican candidate Donald Trump.

WBUR/MassINC poll results




According to the results, 60.0% of respondents said that they would cast a ballot for former New York Senator Hillary Clinton, whereas 31.0% plan to vote for real estate developer Donald Trump.

The poll was conducted 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

As a general rule, however, a good strategy is to not have too much faith in the results of single polls, because they can contain large errors. Rather than trusting the results from single polls, the best practice scientific advice is to use combined polls or, even better, a combined forecast that relies on forecasts from different methods, each of which draws upon different data.

To make the results comparable to benchmark forecasts, you can convert them into shares of the two-party vote. The corresponding figures are 65.9% for Clinton and 34.1% for Trump.

Results in comparison to other polls

An average of recent polls in Massachusetts sees Clinton at 61.7% of the two-party vote. This value is 4.3 percentage points lower than her respective numbers in the WBUR/MassINC poll. This deviation is within the poll's sampling error, which means that the poll is not an outlier.

Results compared to the combined PollyVote forecast

The most recent PollyVote predicts Clinton to gain 62.9% of the two-party vote in Massachusetts. This means that the PollyVote is 3.0 points below her polling numbers. Again, a look at the poll's error margin shows that this difference is negligible.

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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