161.322 Design and Analysis of Surveys and Experiments (15 credits)

Types of data collection; limits to statistical analysis in the absence of sound statistical design. Non-sampling aspects of sample surveys, bias, design of stratified and clustered samples, analysis of survey data, and design effects for complex surveys. Principles of experimental design and analysis of variance, including randomisation, blocking, structured treatments, fixed and random effects, and crossed and nested effects.

Note(s): Access to a computer and approved statistics package is required for analysis of data.

Requirements

• Prerequisite(s): One of 1612xx
  General Prerequisite: At least 45 credits from 200 level.
• Restriction(s): 161.775, 161.321 and 161.331

Offerings

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