random sampling


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random sampling

[′ran·dəm ′sam·pliŋ]
(statistics)
A sampling from some population where each entry has an equal chance of being drawn.
References in periodicals archive ?
Urbach is a Bayesian, and in consequence thinks that random sampling is unimportant when inferring objective probabilities from sample data (Urbach [1989]).
The remaining studies employed one of four sampling methods: (1) interviewing all eligible participants (seven studies); (2) systematic random sampling (four studies); (3) consecutive sampling (i.e., interviewing all eligible patients at a health care facility until a sample target is met; two studies); or (4) interviewing the next patient exiting the consultation room (one study).
An improvement in variance estimation using auxiliary information in simple random sampling was proposed using coefficient of variation(Kadilar and Cingi, 2006):
While stratified random sampling is the most widely used approach, each state has its own unique guidance for sample design, implementation, and extrapolation.
Key Words: Population mean, median, study variate, ratio estimators, maximum and minimum values, bias, mean square error, simple random sampling.
The investigator used stratified random sampling technique for selecting the sample.
Among them are simple random sampling, stratified random sampling, systematic sampling cluster sampling, two-stage cluster sampling, and estimating the population size.
Nazeer Khan in his excellent presentation covered various sampling techniques and talked abut simple random sampling, random sampling in which each subject has equal chance of being selected.
"We did receive calls and reassured them about steps taken by the Health Ministry such as collecting random sampling for testing and the decision banning vegetable imports by the Industry and Commerce ministry," said Dr Moosa.
Results for this Gallup poll are based on telephone interviews conducted July 8-11, 2010, with a random sample of 1,020 adults living in the continental U.S., selected using random sampling. Maximum margin of sampling error is [+ or -] 4%.
As a simple example of the value of stratified random sampling, assume that you want to use sampling to make a statement about the mean apartment rent in a market area.