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Source: Eagleton-Rutgers (url)

CandidatePolitical PartyPollGraphPoll Details
DCorzine*Democratic39%piePoll Date: 2009-10-20
RChristieRepublican36%Number Polled: 583
IDaggettIndependent for NJ20%Margin of Error: 4%
-Undecided-5%Voter Type: Likely

  * = Incumbent

Corzine now 3 points ahead of Christie

 By: Mark Warner 08 (I-AUT) - 2009-10-22 @ 02:16:58

Question:If the election for Governor were today and the candidates were [Names Rotated: Democrat Jon Corzine, Republican Chris Christie or Independent Chris Daggett] who would you vote for? [IF VOTE IS OTHER/DON’T KNOW/REFUSED] As of TODAY, do you LEAN more to: [Names in same order as vote question]?

Corzine (D): 39%
Christie (R): 36%
Daggett (I): 20%

About this Poll
The Rutgers-Eagleton Poll was conducted from October 15-20, 2009 with a scientifically selected random sample of 903 New Jersey adults of whom 583 were determined to be likely voters. Likely voters were defined by registration status, vote history, self reported turnout intention, and attention to the campaign. Data are weighted to represent known parameters in the New Jersey population, including age, race, and Hispanic ethnicity. All results are reported with this weighted data.

All surveys are subject to sampling error, which is the expected probable difference between interviewing everyone in a population versus a scientific sampling drawn from that population. The sampling error for a sample of 903 adults is +/-3.3 percent, at a 95 percent confidence interval. The sampling error for the likely voter sample reported here is +/-4.1 percent. Thus if 50 percent of New Jersey likely voters favored a particular position, one would be 95 percent sure that the true figure would be between 45.9 and 54.1 percent (50 + 4.1) had all New Jersey likely voters been interviewed, rather than just a sample. Sampling error increases as the sample size decreases, so statements based on various population subgroups are subject to more error than are statements based on the total sample. Sampling error does not take into account other sources of variation inherent in public opinion studies, such as non- response, question wording or context effects.

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