The phrase "skewed sample" is correct and usable in written English.
You can use it to refer to a statistical sample that does not accurately reflect its population due to the more frequent inclusion of certain elements. For example, "The survey results were skewed by the inclusion of a disproportionate number of younger respondents."
In the admittedly skewed sample we have from the U.S. government, Republicans tend to go after men (remember Senator Larry Craig's "wide stance" in the restroom stall?), while Democrats tend to target women (see JFK and Bill Clinton).
But that is a skewed sample, because the people who submit their bills are more likely to suspect they overpay.
And Turkers, despite being more diverse than undergraduates, are still a pretty skewed sample of humanity.
But this also implies that the polling results are not simply an artifact of skewed sample designs.
The administration tried to explain on its Web site two days later that the finding used a small, skewed sample and was not representative.
Often the bombs do not appear to be barrels at all, at least from what has been seen of those that failed to explode, which may be a skewed sample).
A reason for this heterogeneity in detection probabilities may be skewed sampling.
Skewed sampling distribution more frequently result in extreme value estimates, the proportion of which decreases with increasing sample sizes.
Skewed samples may have been due to the fact that participants in this study were highly educated, and also appear, from their experience with the Internet, to be technology adopters and therefore not representative of our patient population as a whole.
It would be helpful to have pollsters that have done more detailed research on how the exclusion of cellphone-only voters can skew samples — the three that come to mind here are Pew, SurveyUSA and Marist — examine this issue in more detail.
When the sample size gets larger or the distribution is highly skewed, the sample standard deviations will be highly overestimated.
