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California

2006 CANDIDATES
Dianne Feinstein
Richard Mountjoy
Todd Chretien
Michael Metti
Don Grundmann
Marsha Feinland

ROLLING 5-POLL AVERAGE 4
DATE 1 MOE 2 S 3
NOV 4 34.2 60.8 5.0 +/- 1.8 2963
OCT 25 34.5 60.9 4.6 +/- 1.8 3123
SEP 28 36.4 56.5 7.1 +/- 1.5 4495

INDIVIDUAL POLLS 4
DATE 1 POLLSTER MOE 2 S 3
NOV 4 SURVEY USA 32.6 63.2 4.2 +/- 4.2 553
OCT 30 FIELD RESEARCH 35.9 59.8 4.3 +/- 4.9 401
OCT 27 POLIMETRIX 39.0 57.0 4.0 +/- 3.3 877
OCT 25 SURVEY USA 33.0 59.0 8.0 +/- 4.4 507
SEP 28 MASON-DIXON 28.7 66.3 5.0 +/- 3.9 625
SEP 28 L.A. TIMES 38.7 58.2 3.1 +/- 3.3 989
SEP 26 SURVEY USA 38.5 60.4 1.1 +/- 4.6 445
SEP 24 FIELD RESEARCH 31.5 61.9 6.5 +/- 4.2 557
SEP 15 DATAMAR 38.8 49.9 11.3 +/- 2.3 1879

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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