a form of probabilistic sampling in which the region or site is divided into natural zones or strata such as cultivated land and forest; units ate then chosen by a random number procedure so as to give each zone a number of squares proportional to its area, thus overcoming the inherent bias in simple random sampling.
Stratified random sampling (STRS) occurs when we divide our population into separate groups of units called strata. We then sample independetly from each stratum.
The sample is organised into different strata. A random sample is selected within each strata. Providing the sampling frame is accurate this will mean that the final sample chosen will be representative in terms of the chosen strata. This method is often used to ensure that a sample is representative in terms of geographical areas.
A sampling procedure for which the population is first divided into strata or subgroups based on designated criteria and then the sample is drawn, either proportionately or disproportionately, from each subgroup.
A stratified random sample is one obtained by separating the population into non-overlapping groups, called strata and then selecting a simple random sample from each strata. It is used either to increase precision or to boost sample numbers within some sectors of the population.
The researcher samples equally from each group of distinctly different individuals (strata) in a population.