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In statistics, survey sampling describes the process of selecting a sample of elements from a target population to conduct a survey.


Upon successfully completing this course, students will be able to design and implement surveys with the following sampling designs: simple random, systematic, stratified, cluster and multistage, estimate sample size for different sampling designs in order to estimate population level point estimates. This is a foundation course in sample survey methods and principles.

The instructor will present, in a non-technical manner, basic sampling techniques such as simple random sampling, systematic sampling, stratification and cluster sampling. The instructors will provide opportunities to implement sampling techniques in a series of exercises. 



Welcome to the Library Guide for Survey Sampling. It will help you to locate key resources regarding to your subject.

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