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Maryland: 29 points lead for Clinton in latest OpinionWorks poll

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On October 24, OpinionWorks released the results of a new poll, in which respondents from Maryland were asked for whom they will vote: Donald Trump or Hillary Clinton.

OpinionWorks poll results
54

Clinton

25

Trump

Of those who responded, 54.0% said that they would vote for former First Lady Hillary Clinton, whereas 25.0% indicated that they would give their vote to businessman Donald Trump.

The poll was carried out from August 18 to August 30 with 754 likely voters. If one takes into account the poll's error margin of +/-3.6 percentage points, the difference between both candidates is statistically significant.

Putting the results in context

As a general rule, however, don't have too much faith in the results of single polls, because they sometimes incorporate large errors. Instead of relying on results from single polls, we recommend to look at combined polls or, even better, the combined PollyVote forecast that draws upon forecasts from different methods, each of which draws upon different data.

In order to make the results comparable to forecasts from benchmark methods, one can translate them into two-party vote shares. This yields figures of 68.4% for Clinton and 31.7% for Trump.

Results vs. other polls

If we look at an average of Maryland polls, Clinton's two-party vote share is currently at 69.5%. In comparison to her numbers in the OpinionWorks poll Clinton's poll average is 1.1 percentage points better. This difference is within the poll's sampling error, which means that the poll is not an outlier.

Comparison to the combined PollyVote

The current PollyVote forecasts Clinton to gain 65.1% of the two-party vote in Maryland. This means that the combined PollyVote is 3.3 points below her polling numbers. Again, a look at the poll's error margin indicates that this deviation 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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