161.220 Data Analysis (15 credits)

Understanding data is essential in the natural and social sciences, business, and industry. This course is practical and uses modern statistical software to analyse real-world data. Topics are selected from: data collection, data displays, exploratory analysis, regression, ANOVA, chi-squared tests, non-parametric tests, time series and forecasting.

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

Requirements Requirements help

  • Prerequisite(s): 1 of 161.101, 161.120, 161.130. At least 45 credits from 100 level. At least 90 credits from 100 level for Bachelor of Science.
  • Restriction(s): 161.250

Expected prior learning Requirements help

  • Students with a high level of attainment in NCEA Level 3 Mathematics with Statistics may apply to enrol in 161.220 directly.

Offerings Offerings help

Year Semester Mode Location
2018 Semester One full semester Distance
2018 Semester One full semester Internal Manawatu Campus
2018 Summer School Distance

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