The process of dividing a population into smaller subsets for sampling purposes. By splitting up the population in this manner, each section has an increased likelihood of been selecting for the sample thus making the results more conclusive.
Related information about stratified sampling:
- Stratified sampling - Wikipedia, the free encyclopedia
In statistics, stratified sampling is a method of sampling from a population. In statistical surveys, when subpopulations within an overall population vary, it is ...
- Stratified Sampling - Subjects Proportionally Selected From ...
Stratified sampling is a probability sampling technique wherein the researcher divides the entire population into different subgroups and then selects the final ...
- Stratified Sampling - YouTube
Aug 26, 2011 ... An example of Stratified Sampling. ... Oh our lecturer mentioned proportionate vs disproportionate stratified sampling. U've done ...
- Stratified Sample
It is important to note that the strata used in stratified sampling must not overlap. ... Stratified sampling is good for this because it ensures the presence of key ...
- stratified sampling - The Free Dictionary
Noun, 1. stratified sampling - the population is divided into subpopulations (strata ) and random samples are taken of each stratum. proportional sampling ...
- Stratified Sampling
This lesson describes the use of stratified random sampling as a sampling method. It covers both proportionate and disproportionate sample designs. Includes ...
- Stratified Random Sampling Definition | Investopedia
The main advantage with stratified sampling is how it captures key population ... Stratified sampling works well for populations with a variety of attributes, but is ...
- Methods in Survey Sampling Biostat 140.640 Stratified Sampling
In stratified sampling the population is ..... Variance estimated under stratified sampling is always ... In case of stratified sampling, variance (between) = 0, i.e, ...