Randomness is likely to be representative, and Simple Random Sampling (SRS) can often be the most effective way to achieve it. But in certain situations, other methods such as Systematic, Stratified, and Clustered Sampling may have an advantage.
Stratified Sampling can be used when we know the Proportions of homogeneous groups which make up the population. Stratified Sampling- Divide the Population or Process into homogeneous groups (strata).
- Select a Simple Random Sample from each group such that the Sample Size for each group corresponds to a known Proportion of the group in the population or process
n = 100, we Randomly select 55 women and 45 men.Advantage: Stratified Sampling avoids selecting a Sample which is not representative -– at least with regard to the Proportions of the homogenous groups.Disadvantage: It can't be used when there are no homogeneous groups.
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## AuthorAndrew A. (Andy) Jawlik is the author of the book, Statistics from A to Z -- Confusing Concepts Clarified, published by Wiley. ## Archives
October 2020
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