1000 by age 10 19 20 29 30 39 etc etc cluster cluster

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

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...
View Full Document

Ask a homework question - tutors are online