2006 CANDIDATES
Jim Doyle
Mark Geen
Nelson Eisman

DATE 1					MOE 2	S 3
NOV 1		46.6	51.2	2.1	+/- 1.7	3408
OCT 8		46.7	51.2	2.1	+/- 1.5	4100

DATE 1	POLLSTER				MOE 2	S 3
NOV 1	RESEARCH 2000	45.8	52.1	2.1	+/- 4.0	600
OCT 29	STRATEGIC VISION	47.9	50.0	2.1	+/- 3.5	800
OCT 27	ZOGBY/WSJ	49.0	49.0	2.1	+/- 3.1	1000
OCT 26	UNIVERSITY OF WISCONSIN	40.9	56.8	2.3	+/- 4.3	508
OCT 18	RASMUSSEN	46.8	51.1	2.1	+/- 4.4	500
OCT 8	STRATEGIC VISION	47.3	50.5	2.2	+/- 3.5	800
SEP 17	STRATEGIC VISION	46.7	51.1	2.2	+/- 3.5	800
SEP 14	RASMUSSEN	47.3	50.5	2.2	+/- 4.4	500
SEP 5	ZOGBY/WSJ	47.1	50.9	2.1	+/- 3.1	1000
AUG 21	ZOGBY/WSJ	45.5	52.4	2.1	+/- 3.1	1000

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.

JOIN THE CONVERSATION BELOW