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Aug 05 2015

Poll Shows Sanders Making Big Gains, But Clinton Still Strong

bernie 2These findings are based on the latest WMUR Granite State Poll, conducted by the University of New Hampshire Survey Center. Seven hundred and twenty-two (722) randomly selected New Hampshire adults were interviewed by landline and cellular telephone between July 22 and July 30, 2015. The margin of sampling error is +/- 3.6 percent. Included were three hundred nine (309) likely 2016 Republican Primary voters (MSE = +/-5.6), two hundred seventy-six (276) likely 2016 Democratic Primary voters (MSE = +/-5.9), and six hundred and fifty-two (652) likely 2016 presidential election voters (MSE
= +/- 3.8).

Poll Results
Hillary Clinton – 42%
Bernie Sanders – 36%
Undecided – 12%
Joe Biden – 5%
Other – 3%
Martin O’Malley – 1%
Jim Webb – 1%

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Granite State Poll Methodology
These findings are based on the latest WMUR Granite State Poll, conducted by the University of New Hampshire Survey Center and funded by WMUR-TV, Manchester, NH. Seven hundred and twenty-two (722) randomly selected New Hampshire adults were interviewed by landline and cellular telephone between July 22 and July 30, 2015. The margin of sampling error is +/- 3.6 percent for the entire sample. Included were three hundred nine (309) likely 2016 Republican Primary voters (MSE = +/-5.6), two hundred seventy-six (276) likely 2016 Democratic Primary voters (MSE = +/-5.9), and six hundred and fifty-two (652) likely 2016 presidential election voters (MSE = +/- 3.8). These MSE’s have not been adjusted for design effect. The design effect for the survey is 1.1% and 1.1% for the sample of likely 2016 general election voters.
The random sample used in the WMUR Granite State Poll was purchased from Scientific Telephone Samples (STS), Foothill Ranch, CA. STS screens each selected telephone number to eliminate non-working numbers, disconnected numbers, and business numbers to improve the efficiency of the sample, reducing the amount of time interviewers spend calling non-usable numbers.
The data have been weighted to adjust for numbers of adults and telephone lines within households, respondent sex, age, and region of the state. In addition to potential sampling error, all surveys have other potential sources of non-sampling error including question order effects, question wording effects, and non-response. Due to rounding, percentages may not sum to 100%. The number of respondents in each demographic below may not equal the number reported in cross-tabulation tables as some respondents choose not to answer some questions

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