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Stratified Sampling
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Stratified Sampling
A stratified sample is made up of different 'layers' of the population
- for example, selecting samples from different age groups.
The sample size for each layer is proportional to the size of the 'layer'.
- Sample size for each layer = size of whole sample/size of population × size of layer
- So we look at what fraction of the whole population do we want. Then take that fraction of each layer.
- Sample size for each layer = size of whole sample/size of population × size of layer
example
- 50 pupils in a school of a 1000 pupils were asked what music they like
- make sure the survey is accurate you will need a range of pupils across the year groups - different layers.
- year 7's may like different music to year 11's
- To work out sample size for year 7:
- There are 180 students in year 7 - this is the size of the layer.
- There are 1000 pupils in the school - this the size of the whole population.
- You want answers from 50 people in total - this is the size of the whole sample.
- There are 1000 pupils in the school - this the size of the whole population.
- 50/1000 × 180 = 9
- There are 180 students in year 7 - this is the size of the layer.
- To work out sample size for year 7:
- year 7's may like different music to year 11's
- make sure the survey is accurate you will need a range of pupils across the year groups - different layers.
- 50 pupils in a school of a 1000 pupils were asked what music they like
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- Mind Map on Stratified Sampling, created by jw10busby on 30/03/2015.
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- jw10busby
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