161.321 Sampling and Experimental Design (15 credits)

The implementation of appropriate sampling and experimental designs is a fundamental tool for successful research in many natural and human sciences. Topics include: the logic of scientific investigations, stratified random sampling, simple and complex ANOVA designs, fixed and random factors, nested hierarchies, interactions, mixed models, inference spaces and estimation of variance components.

Note(s): Access to a Windows PC and Minitab are required for analysis of data. Students must attend both block courses.

Requirements

• Prerequisite(s): One of 1612xx
  General Prerequisite: At least 45 credits from 200 level.
• Restriction(s): 161.322

Offerings

There are no offerings currently available for this course

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