161.323 Multivariate Analysis (15 credits)

Methods to understand patterns and structures inherent in data sets containing more than one variable. The fundamentals of ordination, clustering and testing methods for the analysis of several variables, with examples taken from a range of applications.

Note(s): Access to a Windows PC is required for analysis of data.

Requirements Requirements help

  • Prerequisite(s): 15 credits from 1612xx. At least 45 credits from 200 level.

Offerings Offerings help

Year Semester Mode Location
2018 Semester One full semester Block Auckland Campus

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