2006 CANDIDATES
Chet Culver
Jim Nussle
Wendy Barth

DATE 1					MOE 2	S 3
NOV 3		46.8	52.2	1.0	+/- 1.8	2981
OCT 31		47.5	51.4	1.1	+/- 1.9	2768
OCT 5		48.8	50.1	1.1	+/- 1.6	3600

DATE 1	POLLSTER				MOE 2	S 3
NOV 3	IOWA POLL	44.8	54.2	1.0	+/- 3.6	756
OCT 31	RESEARCH 2000	46.9	52.1	1.0	+/- 4.0	600
OCT 27	ZOGBY/WSJ	48.8	50.1	1.1	+/- 4.3	525
OCT 19	RASMUSSEN	47.4	51.6	1.1	+/- 4.4	500
OCT 17	RESEARCH 2000	46.8	52.1	1.1	+/- 4.0	600
OCT 16	RESEARCH 2000	47.9	51.1	1.1	+/- 4.2	543
OCT 05	RASMUSSEN	49.4	49.4	1.2	+/- 4.4	500
SEP 12	RESEARCH 2000	46.7	52.2	1.1	+/- 4.0	600
SEP 05	ZOGBY/WSJ	50.8	48.1	1.1	+/- 3.1	1000
AUG 28	RASMUSSEN	48.2	50.6	1.2	+/- 4.4	500
AUG 21	ZOGBY/WSJ	47.9	51.0	1.1	+/- 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.

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