Definition:TheStratified Samplingis a sampling technique wherein the population is sub-divided into homogeneous groups, called as‘strata’, from which the samples are selected on a random basis. The strata are formed on the basis of the member’s shared attributes and characteristics. These are ...
Stratified sampling is the best choice among theprobability samplingmethods when you believe that subgroups will have differentmean valuesfor the variable(s) you’re studying. It has several potential advantages: Ensuring the diversity of your sample ...
Related to Sampling (statistics):sampling techniques,Stratified random sampling ran′dom sam′pling n. a method of selecting a sample(ran′dom sam′ple)from a statistical population so that every sample that could be selected has a predetermined probability of being selected. ...
Adj.1.stratified- arranged in a sequence of grades or ranks; "stratified areas of the distribution" graded,ranked hierarchal,hierarchic,hierarchical- classified according to various criteria into successive levels or layers; "it has been said that only a hierarchical society with a leisure class at...
Sample size of the strata = size of entire sample / population size * layer size. How to Get a Stratified Random Sample: Steps Sample question: You work for a small company of 1,000 people and want to find out how they are saving for retirement. Use stratified random sampling to obtai...
Learn the definition, advantages, and disadvantages of stratified random sampling. Discover the difference between proportional stratified sampling...
Related to stratified random sample: sampling techniques, cluster samplesample 1. a representative part taken to typify the whole. 2. a subset of a population that is selected for inclusion in a research study. Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seve...
Stratified random sampling helps you pick a sample that reflects the groups in your participant population. Discover how to use this to your advantage here.
Divide the sample population into subgroups:Withstratified random sampling, the researcher bifurcates the entire population into mutually exhaustive subgroups, i.e., the elements of each subgroup become a part of only one of those subgroups. Here, the researcher applies random selection. ...
Related to Sampling (statistics): sampling techniques, Stratified random samplingsampling [sam´pling] the selection or making of a sample. the selection of a group of people, events, behaviors, or other elements that are representative of the population being studied in order to derive conclusi...