Stratified sampling
- Created by: Avneet Aulakh
- Created on: 19-02-19 17:29
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- Stratified sampling
- Stratified sampling 2
- You can use each cell in a two-way table as a stratum
- You need to ensure that the proportion of the stratum in sample is the same as its proportion in the population
- Stratified sampling 1
- A stratum is a group in the population
- In a stratified sample, the relative sizes of the groups in the sample are the same as their relative sizes in the whole population. For example: if there were twice as many boys as girls in a population, then you need twice as many boys as girls in the stratified sample
- Number in the sample for each stratum = (stratum size divided by population size) multiplied by the number in a sample
- A stratum is a group in the population
- Stratified sampling can be used when the population can be split into distinct groups
- The advantage over simple random sampling is that you can certain that all the groups are represented in the sample. This may not be true for simple random sampling
- Stratified sampling 2
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