Overview
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.
About this paper
| Paper title | Applied Statistics |
|---|---|
| Subject | Statistics |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees ( NZD ) | $1,103.10 |
| 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
- 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 2-hour computer laboratory 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
Overview
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.
About this paper
| Paper title | Applied Statistics |
|---|---|
| Subject | Statistics |
| EFTS | 0.1500 |
| Points | 18 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2027 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Prerequisite
- One of BSNS 112, COMO 101, STAT 110, STAT 115
- Restriction
- ECON 210, FINC 203
- 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
- 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 2-hour computer laboratory 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