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Source: Fairleigh Dickinson University (url)
|Candidate||Political Party||Poll||Graph||Poll Details|
|Robert Menendez*||Democratic||50%||Poll Date: 2012-09-12|
|Joseph Kyrillos||Republican||36%||Number Polled: 706|
|Other||-||0%||Margin of Error: 4%|
|Undecided||-||13%||Voter Type: Likely|
* = Incumbent
Menendez with 14 Point Lead in New Jersey
By: leip (--MA) on 2012-09-21 @ 13:27:47
In November, there will also be an election for US Senate. I know it’s early, but if the election were today would you vote for...or...?
About this Poll
The most recent survey by Fairleigh Dickinson University’s PublicMind was conducted by telephone from September 6 through September 12, 2012 using a randomly selected sample of 901 residents statewide. Within this sample 706 respondents were identified as “likely voters” by scoring responses to questions that are relevant to assessing one’s likelihood of voting.
One can be 95 percent confident that the error attributable to sampling has a range of plus or minus 3.8 percentage points among likely voters, and 3.3 percentage points among registered voters. 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 land-line 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 age, race and gender.
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