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Workshop: Introduction to Survey Sampling U.S. Census Bureau, Washington, D.C.

This workshop will present the main components of survey sampling, with a focus on probability sampling. Participants will learn some basic probability sampling techniques such as simple random sampling, systematic sampling, stratification, cluster sampling, and multistage sampling. Participants will also learn about producing estimates of population parameters from sample surveys as a function of sample design and weighting procedures. Finally, participants will learn to compute the sampling errors of survey estimates, and to make inferences from them to the population.


The workshop focuses on sample survey methodologies and principles, but participants are encouraged to bring any census or survey questions that are relevant to their job responsibilities. The workshop is conducted in a hands-on and interactive environment. Each participant will have access to a computer. In addition, all participants must bring a calculator that includes at least a square root function in order to complete group exercises outside the workshop setting.



Audience and Prerequisites


This introductory workshop is oriented toward statisticians, demographers, and economists who wish to produce or understand probability sampling procedures such as sample design, statistical estimates, and variance estimators. No previous experience in probability sampling is required although experience using mathematics, statistics, and computer languages is desirable.


Participants should not expect to obtain sufficient background in this workshop to master probability sampling, but they can expect to become familiar with basic techniques  well enough to converse with sampling statisticians more easily about sample design and estimation.


Date:         October 24 – November 4, 2016

Place:        U.S. Census Bureau Headquarters

Suitland, Maryland (near Washington, D.C.)

Tuition:   US $3,000



Apply early. The workshop will be limited to 15 participants. Those who complete the application requirements will be accepted on a first-come, first-served basis. For more information e-mail