simple random sampling

In the second stage, simple random sampling is usually used.

Simple random sampling can be done with or without replacement.

A lottery draw is a good example of simple random sampling.

Do any of the following use simple random sampling?

Several efficient algorithms for simple random sampling have been developed.

We present here the most common estimator for a population average (mean) and total, under simple random sampling.

This is the same probability as if a simple random sampling of 100 units was selected.

In most cases, the main drawback is a loss of efficiency when compared with simple random sampling.

On occasions simple random sampling procedures as just described do not meet the requirements of the research.

Those two properties are what defines simple random sampling.

Enterprises are selected by simple random sampling and the total turnover is estimated.

Subjects were selected using simple random sampling from census of prison inmates.

Estimation using the simple random sampling method has been studied extensively.

A review of statistical techniques and simple random sampling.

This stage of sampling was carried out using simple random sampling without replacement.

Indeed, because of the sampling design, statistical tests based on simple random sampling theory cannot be used.

Simple random sampling A basic probability selection scheme in which each sample has an equal chance of being selected.

From that, we can see how precise systematic sampling is compared with simple random sampling.

The principle of simple random sampling is that every object has the same probability of being chosen.

This makes systematic sampling functionally similar to simple random sampling.

It means more efficient logistics and removes some of the human bias that may be there with simple random sampling.

Results indicated that, for the given conditions, simple random sampling was more efficient than cluster sampling.

Then simple random sampling or systematic sampling is applied within each stratum.

However, smaller establishments in the take-some stratum are subjected to simple random sampling.

The method is valid when the samples are taken under either simple random sampling or systematic sampling.