STRATIFIED SAMPLE Meaning and
Definition
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A stratified sample refers to a specific method of sampling in research or statistical analysis, where a population is divided into distinct, homogeneous subgroups or strata based on specific characteristics or attributes. This approach aims to ensure that each stratum is adequately represented in the sample, allowing for a more accurate representation of the overall population.
The process of creating a stratified sample involves selecting individuals or elements from each stratum in proportion to its size or importance. The selection within each stratum is typically conducted using a random sampling technique, such as simple random sampling or systematic sampling. By adopting this approach, researchers can account for the heterogeneity or diversity within the population and obtain a more precise estimate of its characteristics.
The purpose of employing a stratified sample is to increase the representativeness and precision of the sample, as it captures the variation present in the population better than a simple random sample. This method is particularly useful when different strata have distinct characteristics or when examining subsets of the population with specific attributes of interest. It allows for comparisons or analyses to be made within each stratum and can enhance the generalizability of findings. However, it is important to carefully determine the criteria for stratification and ensure that each stratum is well-defined, mutually exclusive, and collectively exhaustive for effective implementation of a stratified sample.
Common Misspellings for STRATIFIED SAMPLE
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Etymology of STRATIFIED SAMPLE
The word "stratified" comes from the Latin word "stratum", which means "layer" or "level". In statistics, a stratified sample is a sampling method that involves dividing the population into distinct layers or strata, based on specific characteristics. Each stratum is then sampled independently to ensure representativeness. The term "stratified sample" was coined based on the idea of dividing a population into layers or strata for more accurate sampling.
Similar spelling words for STRATIFIED SAMPLE
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