How Stratified Random Sampling Works, With Examples

Stratified random sampling is a method of sampling that divides a population into smaller groups that form the basis of test samples.
Investopedia

Sampling: Types, Uses in Auditing and Marketing

Ali Hussain has a background that consists of a career in finance with large financial institutions and in journalism covering business. Vikki Velasquez is a researcher and writer who has managed, ...
Nature

Sampling distributions and the bootstrap

We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1. To know the extent to which we can generalize our observations, we ...
Simon Fraser University

Example 39.5: Stratified Sampling

Consider the hypothetical example in Fleiss (1981, pp. 6 -7) in which a test is applied to a sample of 1000 people known to have a disease and to another sample of 1000 people known not to have the ...