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Maryland: New PPP (D) poll shows Clinton with 33 points lead

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Results of a new poll administered by PPP (D) were published on November 6. The poll asked participants from Maryland for whom they will vote: Republican Donald Trump or Democrat Hillary Clinton.

PPP (D) poll results
61

Clinton

28

Trump

Of those who replied, 61.0% said that they plan to vote for former New York Senator Hillary Clinton, whereas 28.0% said that they would give their vote to real estate developer Donald Trump.

The poll was carried out from April 15 to April 17 with 879 registered voters. Considering the poll's margin of error of +/-3.3 percentage points, the gap between both candidates is statistically significant.

Putting the results in context

Single polls should be regarded with caution, because they often contain substantial biases. Instead of relying on results from single polls, the best practice scientific advice is to use combined polls or, even better, the combined PollyVote forecast that relies on forecasts from different methods, each of which draws upon different data.

In order to make the results comparable to forecasts from benchmark methods, you can translate them into two-party vote shares. This yields figures of 68.5% for Clinton and 31.5% for Trump.

Results vs. other polls

Clinton is currently at 69.4% of the two-party vote in an average of recent polls in Maryland. This value is 0.9 percentage points higher than her respective numbers in the PPP (D) poll. This deviation is within the poll's error margin, which means that the poll is not an outlier.

Results compared to the combined PollyVote forecast

The latest PollyVote anticipates Clinton to gain 65.7% of the two-party vote in Maryland. That is, Polly's combined forecast is 2.8 points below her polling numbers. Again, a look at the poll's margin of error reveals 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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