Sampling bias is a bias when a sample is collected in a way that some members with the intended population are less likely be included than people. It results within a biased sample, a non-random sample of an population in which all individuals, or maybe instances, were not equally more likely to have been chosen. If this seriously isn’t accounted for, results is usually erroneously attributed towards the phenomenon under study as opposed to to the approach to sampling.
More Posts
-
‘Green Economy’ Transition Requires the Discovery of Mineral Deposits, Helped by a New Toolkit
-
Computers will allow people to work from home – an Open Speech
-
New Leopard Gecko Species are discovered in India’s Relic Forests
-
European Monetary System (EMS)
-
Coyoteite: Properties and Occurrences
-
St Martin’s Island