A core paper on using statistical models to address scientific questions. Regression models for continuous, binomial and count data, analysis of variance, cluster analysis, principal component analysis, research design.
| Paper title | Applied Statistics |
|---|---|
| Paper code | STAT210 |
| Subject | Statistics |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees (NZD) | $955.05 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Prerequisite
- BSNS 112 or STAT 110 or STAT 115
- Restriction
- ECON 210, FINC 203, STAT 241
- Schedule C
- Arts and Music, Science
- Eligibility
This paper is intended for students from all disciplines who are interested in learning more about the application of statistical methods.
- Contact
- Teaching staff
Dr. Peter Dillingham
Associate Professor Matthew Schofield
- Paper Structure
- The paper covers three key themes:
- Regression modelling
- Multivariate analysis
- The design of research studies
- Teaching Arrangements
Three 1-hour lectures and one 1-hour tutorial per week
- Textbooks
- Textbooks are not required for this paper.
- Course outline
- 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:
- Be able to apply a range of important statistical methods to answer scientific questions
- Understand the assumptions that underlie these methods and know how to check them
- Be proficient at using the statistical programming language R to fit a range of models
- Be aware of the key principles involved in the design of research studies
