PredictionsMock2016 Presidential Republican Primary - NJ ResultsPolls
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Source: Fairleigh Dickinson University (url)

CandidatePolitical PartyPollGraphPoll Details
TrumpRepublican31%pie
Poll Date: 2015-11-15
Number Polled: 307
Margin of Error: 6%
Voter Type: Likely
RubioRepublican18%
CarsonRepublican11%
ChristieRepublican9%
CruzRepublican6%
BushRepublican5%
FiorinaRepublican5%
OtherRepublican10%
-UndecidedRepublican5%

Trump leads by double-digits

 By: Ryne (R-WA) on 2015-11-18 @ 11:56:30

Question:

About this Poll
The most recent survey by Fairleigh Dickinson University’s PublicMind was conducted by telephone from November 9-15, using a randomly selected sample of 830 self-identified registered voters in New Jersey. One can be 95 percent confident that the error attributable to sampling has a range of +/- 3.9 percentage points, including the design effect. The margin of error for subgroups is larger and varies by the size of that subgroup. Survey results are also subject to non-sampling error. This kind of error, which cannot be measured, arises from a number of factors including, but not limited to, non-response (eligible individuals refusing to be interviewed), question wording, the order in which questions are asked, and variations among interviewers.
PublicMind interviews are conducted by Opinion America of Cedar Knolls, NJ, with professionally trained interviewers using a CATI (Computer Assisted Telephone Interviewing) system. Random selection is achieved by computerized random-digit dialing. This technique gives every person with a landline phone number (including those with unlisted numbers) an equal chance of being selected.
Landline households are supplemented with a separate, randomly selected sample of cell-phone respondents interviewed in the same time frame. The total combined sample is mathematically weighted to match known demographics of gender, age, education, and race. 427 interviews were conducted on landlines and 403 were conducted on cellular telephones.
The sample was purchased from Marketing Systems Group and the research was funded by Fairleigh Dickinson University.

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