What is the difference between representative samples and random samples, and how are they are used to reduce sampling bias?

Sampling error, however, is oversimplified when presented as a single number in reports that may include subgroups, poll-to-poll changes, lopsided margins and results measured on the difference ...

A thought experiment about sampling distributions: Imagine you take a random sample of individuals from a target population, measure something and then calculate a sample statistic, the “mean” let’s ...

Although we found bias in samples selected physically, we suspected it also might have played a part in choosing items from a list (for example, picking accounts receivable from a trial balance), an ...

Peter Lynn, Bridget Taylor, On the Bias and Variance of Samples of Individuals: A Comparison of the Electoral Registers and Postcode Address File as Sampling Frames, Journal of the Royal Statistical ...

4 comments about "Sampling Error: The Distorted Reality Of Research". Check to receive email when comments are posted.

This is because representative sampling takes bias out of your sampling system. The more representative your sample is, the more accurate it is – and the easier it is to achieve regulatory ...

The ability of matched sampling and linear regression adjustment to reduce the bias of an estimate of the treatment effect in two sample observational studies is investigated for a simple matching ...

With weighting, groups that were oversampled are brought back in line with their actual share of the population – removing the potential for bias. When people think about opinion polls, they might ...