3 March 2008
ROLLING 5-POLL AVERAGE
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MOE 1 | S 2 | |
| xx FEB 07 | xx.x | xx.x | x.x | x.x | x.x | +/- x.x | xxxx |
INDIVIDUAL POLLS
| DATE 1 | ![]() |
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MOE 1 | S 2 | |
| 04 FEB 08 | ENVIRONICS | 52 | 25 | 10 | 6 | 7 | +/- 3.1 | 1000 |
| 19 JAN 08 | LEGER | 48 | 27 | 11 | 9 | 5 | +/- 3.3 | 905 |
| 13 JAN 08 | STRATEGIC | 58 | 19 | 9 | 5 | 9 | +/- 3.5 | 914 |
| 22 NOV 04 | 2004 ELECTION | 46.8 | 29.4 | 10.2 | 8.7 | 2.8 | - | - |
NOTES
1 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%.
2 Sample size.
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