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STAT210 Statistical Methods 2

Linear regression, factorial analysis of variance, modelling binomial and count data; cluster analysis, principal component analysis, replication and pseudo-replication, randomisation and blocking, stratification and clustering.

A service paper in statistics that builds on the introduction that many students receive in either STAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics.

Paper title Statistical Methods 2
Paper code STAT210
Subject Statistics
EFTS 0.1500
Points 18 points
Teaching period Second Semester
Domestic Tuition Fees (NZD) $868.95
International Tuition Fees (NZD) $3,656.70

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STAT 110 or STAT 115 or (BSNS 102 or BSNS 112)
Schedule C
Arts and Music, Science
STAT 210 cannot be credited to a major or minor in Statistics if ECON 210, FINC 203, FINC 308, STAT 241, STAT 242, STAT 251, or STAT 342 has been passed previously or is being taken concurrently.
Intended for students not majoring in Statistics who have exposure to introductory statistical methods.
Teaching staff
Dr Matthew Schofield
Paper Structure
The paper covers three key themes:
  • Regression modelling
  • Multivariate analysis
  • The design of research studies
Teaching Arrangements
One 2-hour lecture and one 2-hour streamed tutorial per week.
Textbooks are not required for this paper.
Graduate Attributes Emphasised
Communication, Critical thinking, Information literacy, Research.
View more information about Otago's graduate attributes.
Learning Outcomes
Students who successfully complete the paper will
  • Apply a range of important statistical methods to real data
  • Understand the assumptions underlying use of these methods
  • Assess what types of statistical methods are valid for different kinds of data
  • Be aware of the issues involved in designing a research study
  • Critically appraise research literature in terms of statistical methods used
  • Use a standard statistical programming language (R) to analyse data

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Second Semester

Teaching method
This paper is taught On Campus
Learning management system


Stream Days Times Weeks
L1 Wednesday 11:00-12:50 28-34, 36-41


Stream Days Times Weeks
Attend one stream from
T1 Monday 11:00-12:50 29-34, 36-41
T2 Tuesday 15:00-16:50 29-34, 36-41
T3 Thursday 15:00-16:50 29-34, 36-41
T4 Friday 11:00-12:50 29-34, 36-41