Sampling is the process of creating a small unbiased population to be used in a test or experiment. The sample removes the impractical idea of surveying everyone in a market or a population. Random ...

Students learn about sampling by tracing improvements in sampling procedures over the twentieth century. Scientific inquiries involving flawed sampling are illustrated and discussed using the Literary ...

Since Moser and Stuart's pioneering work (Moser and Stuart 1953), systematic investigation of random and quota sampling has fallen into abeyance amongst British researchers. 1 In the USA, the ...

In a recently published news story, we learn about a young doctor, Jake Deutsch, and his personal experience with coronavirus disease 2019. Deutsch tested positive for Covid-19 and checked himself ...

When it comes to demographic variables, none of them change all that much. This means that, from the point of view of reporting on them at Panel Services SA (PSA) and keeping them accurate for our ...

Most statistical methodology in use today is designed for sampling schemes or experimental designs in which the sample size or number of data points is regarded as a fixed, present parameter. This is ...

Why do pollsters make such a big deal about probability sampling? You'd think that choosing people to interview should be easy. Take three of these, four of those, and two of the other. But it's not.

Aim The paradigm that species' patterns of distribution, abundance and coexistence are the result of adaptations of the species to their niches has recently been challenged by evidence that similar ...