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STAT 3507

Sampling Methodology

0.5 credit · Undergraduate

The sample survey as a vehicle for information collection in government, business, scientific and social agencies. Topics include: planning a survey, questionnaire design, simple random, stratified, systematic and cluster sampling designs, estimation methods, problem of non-response, related topics.

2022

Topics

  • Review of basic statistical concepts for example, random variables, probability distribution
  • Elements of sampling problem; sampling vs. census, steps in sample surveys, probability vs.
  • Simple random sampling: estimation of a population mean, variance estimation of the mean
  • Simple random sampling: estimation of a population total, sample size determination, esti
  • Stratified random sampling: sampling technique, estimation of population of mean and total
  • Stratified random sampling: Allocation of the sample, optimum allocation, Neyman’s allo
  • Review

Readings

  • Reference Text: Elementary Survey Sampling, ed. 6, by Schaeffer, Mendenhall, Ott.
  • Sampling: Design and Analysis, by Sharon Lohr.
  • Sampling Techniques, ed. 3, by W. G. Cochran

Prerequisites & course information

Prerequisite(s): one of: STAT 2507 , STAT 2509 , STAT 2601 , STAT 2602 , STAT 2606, STAT 2607, ECON 2201, ECON 2202, ECON 2210 , or equivalent; or permission of the School. Lectures three hours a week and one hour laboratory.

Sources