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Source: Monmouth University (url)

CandidatePolitical PartyPollGraphPoll Details
RJoe HeckRepublican42%piePoll Date: 2016-07-10
DCatherine Cortez-Masto^Democratic40%Number Polled: 408
-Other-5%Margin of Error: 5%
-Undecided-13%Voter Type: Likely

  ^ = Incumbent Party (Current Senator Retiring)

Heck narrowly leads Masto in NV

 By: IndyRep (R-MT) on 2016-07-11 @ 20:00:01

Question:
2. If the election for U.S. Senate was today, would you vote for Joe Heck the Republican, Catherine Cortez Masto the Democrat, or Tom Jones of the Independent American Party - or would you choose the option for none of these candidates? [ IF UNDECIDED : If you had to vote for one of the following candidates at this moment, who do you lean toward - Joe Heck or Catherine Cortez Masto?] [ NAMES WERE ROTATED ]

Joe Heck 42%
Catherine Cortez Masto 40%
Tom Jones 5%
None of these candidates 6%
(VOL) Other 1%
(VOL) Undecided 7%
(n) (408)

About this Poll
The Monmouth University Poll was sponsored and conducted by the Monmouth University Polling Institute from July 7 to 10, 2016 with a random sample of 408 likely Nevada voters. Interviews were conducted by a live caller in English, including 353 drawn from a list of registered voters (203 on a landline and 150 on a cell phone) and a random digit dial supplement of 55 cell phone interviews. Monmouth is responsible for all aspects of the survey design, data weighting and analysis. The final sample is weighted for age, gender, race and party registration based on voter list and U.S. Census information. Data collection support provided by Braun Research (field), Aristotle (voter list sample), and SSI (RDD sample). For results based on this sample, one can say with 95% confidence that the error attributable to sampling has a maximum margin of plus or minus 4.9 percentage points (unadjusted for sample design). Sampling error can be larger for sub-groups (see table below). In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.

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