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Latest MPRC (D)MPRC (D) poll in Maine: Trump trails by a comfortable margin

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On October 19, MPRC (D)MPRC (D) released the results of a new poll, in which respondents from Maine were asked for whom they will vote: Donald Trump or Hillary Clinton.

MPRC (D)MPRC (D) poll results
49

Clinton

39

Trump

Of those who answered the question, 49.0% said that they would vote for former First Lady Hillary Clinton, while 39.0% declared that they would give their vote to real estate developer Donald Trump.

The poll was conducted from October 14 to October 15. A total of 890 likely voters responded. There is a sampling error of +/-3.3 percentage points. Considering this error margin, the gap between both candidates is statistically significant.

Putting the results in context

Individual polls often incorporate large errors, which is why they should be treated with caution. Instead of relying on results from single polls, you should use combined polls or, even better, the combined PollyVote forecast that includes different methods and data.

To make the results comparable to benchmark forecasts, one can translate them into shares of the two-party vote. This yields figures of 55.7% for Clinton and 44.3% for Trump. On October 9 Clinton obtained only 55.1% in the MPRC (D)MPRC (D) poll and Trump obtained 44.9%.

Comparison to other polls

Clinton currently runs at 53.9% of the major two-party vote according to an average of recent polls in Maine. This value is 1.8 percentage points lower than her respective numbers in the MPRC (D)MPRC (D) poll. This deviation is within the poll's sampling error, which means that the poll is not an outlier.

Comparison to the combined PollyVote

The most recent PollyVote predicts Clinton to gain 55.4% of the two-party vote in Maine. That is, Polly's combined forecast is 0.3 points below her polling numbers. The PollyVote forecast is therefore in line with the poll's sampling error.

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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