Sentences with phrase «sampling error of»

With pure probability samples of 2,878 and 2,482 one could say with a 95 percent probability that the overall results have a sampling error of + / - 1.83 and + / -1.97 percentage points, respectively.

Interviews in the summer of 2005 with 97 «senior decision - makers who help choose outside counsel» were «done in conformance with generally accepted research principles set forth in CASRO and ESOMAR, [and] has a sampling error of + / - 10 %.»

It particular it explains why if you take it as sampling absolute temperature, the error is too high, but if you subtract means to form anomalies, you remove most of the variation, and the sampling error of the mean is back to reasonable.

The STATS survey involved a random sampling of «489 self - identified members of either the American Meteorological Society or the American Geophysical Union» and it has a theoretical sampling error of + / - 4 %.

The AAAS has over 10 million members, and the results of the survey are statistically valid for the entire population with a theoretical sampling error of + / - 2.5 %.

The poll suggests Paterson has a 4 - point edge pver Lazio in a hypothetical matchup, within the survey's sampling error of plus or minus 3.5 percentage points.

The most recent poll was taken between October 27 and October 31 and has a sampling error of plus or minus 3.3 percent.

The poll had a sampling error of plus or minus 3.5 percent.

The overall results have a margin of sampling error of plus or minus 3.5 percentage points.

The Quinnipiac poll was conducted by telephone July 18 - 23 from 507 likely Democratic primary voters, and had a sampling error of plus or minus 4.4 percentage points.

The survey's overall sampling error is plus or minus 2.8 percentage points, with a sampling error of plus or minus 3.4 percentage points for questions only of Democrats.

The poll has a sampling error of plus or minus 4.4 percentage points.

The Quinnipiac poll surveyed 1,151 likely voters by telephone from September 23 - 28, and carries a sampling error of plus or minus three percentage points.

And with the survey's sampling error of plus or minus 4.5 points, Palin and Huckabee are statistically tied.

The new Siena poll, which surveyed 805 registered voters by telephone from Jan. 8 to 12, has a margin of sampling error of plus or minus four percentage points.

The poll has a sampling error of plus or minus 2.3 percentage points.

With a pure probability sample of 5,708, one could say with a 95 percent probability that the overall results have a sampling error of + / - 1.30 percentage points.

With pure probability samples of 2,321 and 3,039, one could say with a 95 percent probability that the overall results have sampling errors of + / - 2.03 and + / - 1.78 percentage points, respectively.

With pure probability samples of 2,138 and 3,022, one could say with a 95 percent probability that the overall results have sampling errors of + / -2.12 and + / -1.78 percentage points, respectively.

Variation between the replicate estimates of Aboriginal and Torres Strait Islander life expectancy corresponding to replicate estimates from PES gave estimates of the sample error of life expectancy and the additional variation from deviations from the assumptions measured the sensitivity of the method to the assumptions.

Not exact matches

The companies surveyed all had at least 20 employees, while the margin of error for the sample was plus or minus 3.54 percentage points, with a 95 % confidence level.

The margin of sampling error for all respondents is plus or minus 4.1 % age points.

This timeliness and detail comes at a cost, however, as the small sample sizes of the LFS causes the estimates to have substantial standard errors (which can lead to some peculiar results at the provincial and CMA levels).

«Far more important than dialing down the margin of error is making sure that whatever you're aiming at is unbiased and that you do have a representative sample,» says Andrew Bray, an assistant professor of statistics at Reed College.

Their goal is to be 95 % sure that the real level of support in the whole population is captured in the sample's range, from the low end of the margin of error to the high end.

The challenge was that the IOC's digital archive was itself incomplete: it had only a rudimentary collection of historical materials — and some of those materials, especially older, pre-digital samples, contained errors.

The margin of sampling error for all respondents is plus or minus 4.0 percentage points.

Using those 16 companies as a representative sample for the entire Fortune 500 cohort would result in a pretty wide margin of error: 24.3 %.

The polling industry's professional body, the Marketing Research and Intelligence Association, says online surveys can not be assigned a margin of error as they are not a random sample and therefore are not necessarily representative of the whole population.

The polling industry's professional body, the Marketing Research and Intelligence Association, says online surveys can not be assigned a margin of error because they do not randomly sample the population.

This online survey is not based on a probability sample, and therefore no estimate of theoretical sampling error can be calculated.

While statistical margins of error are arguably not applicable to online panels / online studies of this nature, we have assumed that the same margins of error apply as if it were a true unweighted random probability sample with a margin of error of + / - 3.7 percentage points, nineteen times out of twenty.

The margin of error — which measures sample variability — is + / - 3.5 percentage points.

The statistical margin of error for the sample of n = 1,507 Self - employed workers is + / - 2.5 %, assuming that participants are the same as non-participants.

For results based on this sample, one can say with 95 % confidence that the error attributable to sampling has a maximum margin of plus or minus 3.5 percentage points (unadjusted for sample design).

For results based on the total sample of baby boomers born 1946 - 1964, the margin of sampling error is ± 4 percentage points at the 95 % confidence level.

All sample surveys may be subject to multiple sources of error (i.e. sampling error, coverage error, measurement error, etc.).

In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.

Environics said the margin of error for a sample of this size is plus or minus 3.4 percentage points, with a confidence level of 95 per cent.

The margin of sampling error is + / - four percentage points.

The margin of sampling error for the full sample is plus or minus 2.6 % in 19 of 20 samples.

The margin of error for the sample of 1,006 is + / - 3.09 % at the 95 % confidence level.

However, the three - point difference from the national average was within the range of sampling error, suggesting that their likelihood of experiencing a dissolved marriage is the same as that of the population at - large.

The data table shows, in the spreadsheet «exclusion6», study information and yield data of studies that were excluded because they did not meet selection criteria 6 (i.e. no information on an error term and sample size was available).

The survey sample was 1,000 nationally representative Americans age 18 and over, and the margin of error is + / - 3.1 % at the 95 percent confidence level.

A probability sample of the same size would yield a margin of error of + / -2.1 %, 19 times out of 20.

To be included, a study had to compare organic and conventional planting across similarly - sized areas, had to report on the sample size and error margins, and had to use organic methods that complied with the guidelines of certification organisations (such as the UK's Soil Association).

Calculation to determine the necessary number of resident participants used estimations of knowledge from previous studies of pediatric residents, which suggested a baseline knowledge about breastfeeding of 60 percentage points.8, 9,15 To detect an improvement in knowledge score of 20 percentage points with an estimated standard deviation of 20 points, a 2 - tailed α error of 0.05 and a power of 0.80, sample size was calculated at a minimum of 16 resident participants.

Ignoring the stratified sampling does not affect point estimates and may have resulted in slightly overestimated standard errors.14 Robust variance estimation was used to allow for the clustered nature of the data within units and trusts.

The margin of sampling error is plus or minus 4 to 8 percentage points for this analysis.