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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 Requirements help

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

Offerings Offerings help

Year Semester Mode Location
2021 Semester One full semester Distance
2021 Semester One full semester Internal Manawatu Campus