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Maryland: 33 points lead for Clinton in latest PPP (D) poll

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PPP (D) published the results of a new poll. In this poll, interviewees from Maryland were asked for whom they will vote: Republican Donald Trump or Democrat Hillary Clinton.

PPP (D) poll results
61

Clinton

28

Trump

Of those who answered the question, 61.0% said that they are going to vote for former New York Senator Hillary Clinton, whereas 28.0% revealed that they would give their vote to billionaire Donald Trump.

This poll was conducted from April 15 to April 17, among a random sample of 879 registered voters. 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

In general, however, a good strategy is to not have too much faith in the results of single polls, because they sometimes contain large errors. Instead of trusting the results from single polls, forecasting research recommends to use combined polls or, even better, a combined forecast that uses forecasts from different methods, each of which draws upon different data.

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

Comparison to other polls

Looking at an average of Maryland polls, Clinton's two-party vote share is currently at 69.0%. This value is 0.5 percentage points higher than her corresponding numbers in the PPP (D) poll. This deviation is within the poll's margin of error, which means that the poll is not an outlier.

Comparison to the combined PollyVote

The current PollyVote forecasts Clinton to gain 64.5% of the two-party vote in Maryland. This means that the PollyVote forecast is 4.0 points below her polling numbers. Again, a look at the poll's error margin indicates that this difference is significant.

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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