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What Is Stratified Random Sampling In Research. The selection is done in a manner that represents the whole population. Stratified random sampling is also called proportional or quota random sampling. The smaller subgroups are called strata. Young middle-aged old race religion occupation education.
E is the margin of error the level of precision or the risk the researcher is willing. Stratification may be done in business research on differ characteristics like sex age eg. Such sampling is called stratified random sampling. All the same this method of research is not without its disadvantages. Overlapping creates confusion or involvement of high risk for individuals. The number of samples selected from each stratum is proportional to the size variation as well as the cost c i of sampling in each stratum.
The number of samples selected from each stratum is proportional to the size variation as well as the cost c i of sampling in each stratum.
What Is Stratified Random Sampling. In stratified random sampling or stratification the strata are formed based on members shared attributes or characteristics such as income or educational attainment. Overlapping creates confusion or involvement of high risk for individuals. What Is Stratified Random Sampling. All the same this method of research is not without its disadvantages. Stratified random sampling refers to a sampling technique in which a population is divided into discrete units called strata based on similar attributes.