2006 CANDIDATES
Bernie Sanders
Richard Tarrant
Peter Diamondstone
Steve Moyer


| DATE 1 | ![]() |
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MOE 2 | S 3 |
| OCT 24 | 38.0 | - | 62.0 | +/- 2.0 | 2500 | |
| SEP 19 | 37.9 | - | 62.1 | +/- 2.5 | 1500 |
| DATE 1 | POLLSTER | ![]() |
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MOE 2 | S 3 |
| OCT 24 | RESEARCH 2000 | 38.3 | - | 61.7 | +/- 4.9 | 400 |
| SEP 19 | RESEARCH 2000 | 35.9 | - | 64.1 | +/- 4.9 | 400 |
| SEP 14 | AMERICAN RESEARCH | 41.7 | - | 58.3 | +/- 4.0 | 600 |
| AUG 3 | RASMUSSEN | 35.1 | - | 64.9 | +/- 4.4 | 500 |
| JUL 27 | AMERICAN RESEARCH | 38.0 | - | 62.0 | +/- 4.0 | 600 |
NOTES
1 Date is the last day that the poll was taken. Often polls are embargoed for several days until their release date.
2 Margin of Error. MOE is related to sample size, 0.98 divided by the square root of the sample size at 95% confidence (19 times out of 20). For example, a sample of 1000 people has a MOE of +/- 3.1% and a sample of 2000 people has a MOE of +/- 2.2%. For rolling averages, the samples are assumed to be independent, thus sample sizes are aggregated to produce an overall MOE. In practice, some polling firms use lists with repeat calls; in these case, it is more precise to reduct these repeat calls from the overall sample size, thus the actual margin of error might be slightly higher. Example: 5 surveys of 1000 people would normally produce a MOE of +/- 1.4%, if samples were independent. If 25% of calls were repeat calls, however, a more accurate MOE would be based on 4000, not 5000, people, producing a MOE of +/- 1.5%.
3 Sample size.
4 Poll numbers exclude undecided voters (and in some cases include estimated for Others), thus are pro-rated to 100%. For example, if the raw poll data shows the Republican candidate with 47%, the Democratic candidate with 41%, Others with 2% and there were 10% undecided, the results excluding undecideds are: Republican 47/90 = 52.2, Democrat 41/90 = 45.6, Others 2/90 = 2.2.

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