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May 04, 2024
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OSM 431 - Design of Survey Samples SAS(4 credits)
Prerequisite(s): OMS/OSM 202 . This course presents the principal applications of sample surveys, survey design, criteria of a good sample design, and characteristics of simple random sampling, stratified random sampling, and cluster sampling. Case studies are used where appropriate to illustrate applications of survey sampling. This course also explains how to plan an experiment so that appropriate data can be collected and analyzed and a reliable conclusion can be drawn. Topics covered in the design of experiments include fundamentals, completely randomized design, randomized complete blocks, Latin square, factorial, nested factorial, and analysis of variance in regression models. Strong emphasis will be placed on the application of SAS software to actual data.
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