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Unformatted text preview: bsets
• by department in an organization • by job category (e.g. management, technical, support, etc.) 1000• by age (10-19, 20-29, 30-39, etc.) • etc. Cluster Cluster Sampling • Best for geographic locations
• by city block • by zip code • by neighborhood • etc.
Slide 28 Systematic Sampling
If If a sample size of n is desired from a population containing N elements, we might sample one element for every n/N elements in the population. We We randomly select one of the first n/N elements from the population list. We then select every N/nth element that follows in the population list. This This method has some important properties of a simple random sample, especially if the list of the especially population elements is a random ordering. … continued Slide 29 29 Systematic Sampling - EXAMPLE
If If a sample size of n is desired from a population containing N elements, we might sample one element for every n/N elements in the population. We We then select every N/n th element that follows in the population list. N = 20,000 & n = 200 20,000 N/n = 20,000/200 = 100 Select Select every 100th element after random start Slide 30 10 Systematic Sa...
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- Spring '08