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 DEPARTMENT OF MATHEMATICS
 AND STATISTICS
1999 - 2000 MINICALENDAR
 Faculty of Arts
 Faculty of Pure and Applied Science

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AS/SC/AK/ MATH 3430 3.0 W

Sample Survey Design

      Principal steps in planning and conducting a sample survey. Sampling techniques including simple random sampling, stratified random sampling, cluster sampling, and sampling with probabilities proportional to size. Estimation techniques including difference, ratio, and regression estimation.
      This course deals with the peculiarities of sampling and inference commonly encountered in sample surveys in medicine, business, the social sciences, political science, natural resource management, and market research. Attention will be focused on the economics of purchasing a specific quantity of information.
      That is, methods for designing surveys that capitalize on characteristics of the population under study will be presented, along with associated estimators to reduce the cost of acquiring an estimate of specified accuracy. (The emphasis will be on the practical applications of theoretical results.)
      The text will be R. L. Scheaffer, W. Mendenhall, and L. Ott, Elementary Survey Sampling (5th ed.), PWS-Kent.
      The final grade may be based on assignments (5%), class tests (40%) and a final examination (55%).

Prerequisite:AS/SC/MATH 2030 3.0 or AS/SC/AK/MATH 3330 3.0 or AS/SC/PSYC 3030 6.0
ExclusionsThese courses may not be taken for credit after taking MATH 3430: AK/MATH 2752 3.0, AK/ADMS 3352 3.0, AK/ECON 3130 3.0.

Coordinator: P. Peskun.

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