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Missouri: 9 points lead for Trump in new Remington Research (R) poll


Remington Research (R) published the results of a new poll. In this poll, interviewees from Missouri were asked for whom they will vote: Hillary Clinton or Donald Trump.

Remington Research (R) poll results




Of those who answered the question, 38.0% said that they will vote for former First Lady Hillary Clinton, whereas 47.0% said that they would give their vote to real estate developer Donald Trump.

The poll was conducted between September 1 and September 2. The sample size was 1275 likely voters. The error margin is +/-3.0 points. This means that the levels of voter support for the candidates of both parties differ significantly.

Putting the results in context

In general, however, don't have too much faith in the results of single polls, as they may incorporate large errors. Rather than trusting the results from single polls, forecasting research recommends to use combined polls or, even better, the combined PollyVote forecast that draws upon different methods and data.

For the following comparison, we convert Trump's and Clinton's raw poll numbers into shares of the two-party vote. This procedure yields values of 44.7% for Clinton and 55.3% for Trump.

Comparison to other polls

Trump currently runs at 54.6% of the two-party vote according to an average of recent polls in Missouri. Relative to his numbers in the Remington Research (R) poll Trump's poll average is 0.7 percentage points lower. This margin is within the poll's error margin, which means that the poll is not an outlier.

Results compared to the combined PollyVote prediction

The current PollyVote predicts Trump to gain 54.2% of the two-party vote in Missouri. Hence, the combined PollyVote is 1.1 points below his polling numbers. Again, a look at the poll's margin of error 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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