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Connecticut

2006 CANDIDATES
Joe Lieberman
Ned Lamont
Alan Schlesinger
Ralph Ferrucci
Timothy Knibbs

ROLLING 5-POLL AVERAGE 4
DATE 1 MOE 2 S 3
NOV 5 8.4 39.6 51.8 +/- 1.7 3454
OCT 28 7.0 40.3 52.7 +/- 1.8 3078
OCT 20 6.2 39.1 54.7 +/- 1.7 3178
OCT 3 5.0 43.1 51.9 +/- 1.6 3906

INDIVIDUAL POLLS 4
DATE 1 POLLSTER MOE 2 S 3
NOV 5 QUINNIPAC 8.3 39.6 52.1 +/- 3.8 676
NOV 4 SURVEY USA 9.4 39.6 50.0 +/- 3.8 652
NOV 1 RESEARCH 2000 7.2 40.2 52.6 +/- 4.0 600
OCT 31 REUTERS/ZOGBY 8.5 39.4 52.1 +/- 4.0 600
OCT 30 QUINNIPIAC 8.5 39.4 52.1 +/- 3.2 600
OCT 28 RASMUSSEN 9.3 41.2 49.5 +/- 4.4 500
OCT 27 ZOGBY/WSJ 6.3 44.3 49.4 +/- 4.3 525
OCT 20 AMERICAN RESEARCH 9.5 38.9 51.6 +/- 4.0 600
OCT 19 QUINNIPIAC 6.5 37.6 55.9 +/- 3.3 881
OCT 11 SURVEY USA 4.1 41.2 54.6 +/- 4.1 572
OCT 3 RASMUSSEN 6.3 41.7 52.1 +/- 4.2 550
OCT 3 REUTERS/ZOGBY 4.4 36.7 58.9 +/- 4.1 575
SEP 25 ZOGBY/WSJ 5.3 46.4 48.3 +/- 3.1 1000
SEP 25 QUINNIPIAC 5.4 41.9 52.7 +/- 2.9 1181
SEP 19 AMERICAN RESEARCH 3.2 47.4 49.4 +/- 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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