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The first step of randomization is the sequence generation using a simple random allocation sequence.
The most fundamental type is a simple random sample.
Stratified simple random sampling is a variation of simple random sampling in which the population is partitioned into relatively homogeneous groups called strata and a simple random sample is selected from each stratum.
In two-stage cluster sampling, a simple random sample of clusters is selected and then a simple random sample is selected from the units in each sampled cluster.
Simple random sampling provides the basis for many probability sampling methods.
Simple random sampling.
Simple random sampling (SI) is taken as a reference design.
Simple random sampling technique was utilized in this study.
A simple random sample (n = 157) was taken.
First, a simple random sample is drawn from the population.
Simple random sampling was assumed within each stratum.
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