Just as pollsters ought to get in the habit of releasing the partisan makeup of their samples, including their subsamples of registered and likely voters, they also ought to release the ideological breakdown. ❋ Kristen Soltis (2010)
The margin of error is higher for subsamples within the full sample. ❋ Unknown (2010)
Readers should be cautioned that smaller exit poll subsamples for minority groups in battleground states carry higher margins of error. ❋ KARL ROVE (2010)
Because any poll based only on listed landline numbers will not have an appropriate demographic sample, the pollster must reweight the results upon the basis of the subsamples, all of which have higher individual margins of error and Zogby appears to have gotten some unusual subsample results. ❋ Unknown (2009)
It would be interesting to see the subsamples in the CNN, but so far I am unable to find anything but their own article. ❋ Unknown (2009)
Others say that jackknife replication of subsamples can still be used on any sample, even out and out quota samples, to determine the variability within the data and therefore provide good measures of statistical error on any sample. ❋ Unknown (2009)
The MOE is higher when looking either the Democratic or Republican subsamples with a range from 4.9% to 5.5% depending on the state and whether you are looking at the Republican or Democratic subsample. ❋ Unknown (2009)
I know, 1000+ is obviously the Holy Grail but at least it's a step up from all these subsamples. ❋ Jeff (2009)
Yeah, fair enough that real elections can prove trends better than polling subsamples but the cautious side of me is concerned that to 'cling' to data for a different election, a year apart between election dates while contradicting current polling data just looks unnecessarily desperate. ❋ Jeff (2009)
Imagine taking the sample of one poll and dividing it into two subsamples one of one third of the original sample and one of two thirds of the original sample. ❋ Unknown (2009)
He had done an amazing job at documenting everything - our note ran to over 70 pages, much of it plot after plot comparing the data and simulation in our control samples and in other subsamples of the data. ❋ John (2007)
Such replicated subsamples are required for analysis of variance and for evaluation of correlation between radii within trees. ❋ Unknown (2006)
It implies something like polling where we take subsamples and have a distribution of the sample means that is guassian around the true mean. ❋ Unknown (2006)
When using RCS, one has to decide whether differences between subsamples reflect (i) climatic signals and should be preserved or (ii) non-climatic signals and should be eliminated. ❋ Unknown (2006)
If significant differences occur between various subsamples, some discussion of the impact these differences will have on the resulting chronologies would be useful. ❋ Unknown (2006)
Intuitively if I do 4 seperate polling tests and combine the data and they are independant then my error bars will be lower then if I had significant overlap among the subsamples. ❋ Unknown (2006)
We analyze subsamples of high-scoring students and also different areas of math, such as reasoning and geometry. ❋ JoAnne (2006)
