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|
|Teaching period||Second Semester|
|Domestic Tuition Fees (NZD)||$868.95|
|International Tuition Fees (NZD)||$3,656.70|
- 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.
- More information link
- View more information about STAT 210
- 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