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Source: Mercyhurst University (url)

CandidatePolitical PartyPollGraphPoll Details
DThomas W. WolfDemocratic43%piePoll Date: 2014-09-24
RThomas W. Corbett, Jr.*Republican28%Number Polled: 479
-Other-3%Margin of Error: 4%
-Undecided-27%Voter Type: Registered

  * = Incumbent

Wolf leads comfortably in uni poll with high undecideds

 By: Lief (D-NY) on 2014-09-26 @ 23:44:58

Question:
Finally, I would like to return to an issue closer to home. You may be aware that this November Pennsylvania is holding an election for governor. If the election for governor of Pennsylvania was held today, would you vote for the Republican candidate Tom Corbett, the Democratic candidate Tom Wolf or are you unsure?

About this Poll
This report summarizes the results of a survey of registered voters in Pennsylvania, which was conducted between Monday, September 15 and Wednesday, September 24, 2014. During the 8 day field period interviewers called weekday evenings between the hours of 6:00 and 9:00 PM and between 11:00 AM and 6:00 PM on weekends. For each working phone number, interviewers made no fewer than six attempts to contact individuals selected to participate in the study. Calls were initiated by CATI software or manually dialed and relied on a list of randomly selected registered voters Pennsylvania obtained from Votermapping.com.

A total of 479 individuals were interviewed. For a sample size of 479, there is a 95 percent probability that the results are within plus or minus 4.48 points (the margin of error) of the actual population distribution for any given question. For subsamples, the margin of error is higher (depending on the size of the subsample). Aside from sampling error, there are several factors that prevent the results obtained through a probability sample from being a perfect representation of the results that would be obtained if the entire population was interviewed. This non-sampling error may be caused by of a variety of factors including, but not limited to, response rate and question order. In this survey, a variety of techniques were employed to reduce common sources of non-sampling error.

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