What is 'Stratified Random Sampling'
Stratified random sampling is a method of sampling that involves the division of a population into smaller groups known as strata. In stratified random sampling, the strata are formed based on members' shared attributes or characteristics. A random sample from each stratum is taken in a number proportional to the stratum's size when compared to the population. These subsets of the strata are then pooled to form a random sample.
BREAKING DOWN 'Stratified Random Sampling'
The main advantage with stratified sampling is how it captures key population characteristics in the sample. Similar to a weighted average, this method of sampling produces characteristics in the sample that are proportional to the overall population. Stratified sampling works well for populations with a variety of attributes, but is otherwise ineffective, as subgroups cannot be formed.

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What is the difference between a simple random sample and a stratified random sample?
Learn about the differences between simple random sampling and stratified random sampling, and learn about the advantages ... Read Answer >> 
What are some examples of stratified random sampling?
Learn what simple random sampling and stratified random sampling are, some examples of stratified random samples, and how ... Read Answer >> 
How does stratified random sampling influence government policy decisions?
Understand how governments use stratified random sampling to collect more precise data to help in making better informed ... Read Answer >> 
What are the best selection methods for creating a simple random sample?
Discover some of the methods that researchers and pollsters utilize to select a simple random sample from a population group ... Read Answer >> 
What are some common financial sampling methods?
Read about the differences between various common financial sampling methods for financial analysts, statisticians, marketers ... Read Answer >> 
What are the advantages and disadvantages of stratified random sampling?
Understand the process for stratified random sampling and its advantages and disadvantages for selecting a sample to approximate ... Read Answer >>