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Stratified Sampling

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Stratified Sampling

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    1. Stratified Sampling Stratified sampling uses a small sample from a population to accurately represent each element of that population. See the following example. A company employs 1000 people. A stratified random sample of the employees is to be selected to form a committee. Calculate the number of people from each department who should be selected to form a committee of size 40. The number employees in each department are as follows: Management 55 Shopfloor 650 Engineering 170 Administration 125 The stratified sample will be calculated as follows: Management: 55 ? 1000 ? 40 = 2.2 Therefore 2 people (round to nearest whole number) Shopfloor: 650 ? 1000 ? 40 = 26 Therefore 26 people (no rounding required) Engineering: 170 ? 1000 ? 40 = 6.8 Therefore 7 people Admin: 125 ? 1000 ? 40 = 5 Therefore 5 people (Check: 2 + 26 + 7 + 5 = 40)

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