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STAT210 Applied Statistics

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 0.1500
Points 18 points
Teaching period First Semester
Domestic Tuition Fees (NZD) $886.35
International Tuition Fees (NZD) $3,766.35

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Prerequisite
STAT 110 or STAT 115 or BSNS 112
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
twang@maths.otago.ac.nz
Teaching staff
Dr 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.
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.

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Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Lecture

Stream Days Times Weeks
Attend
A1 Monday 13:00-13:50 9-16, 18-22
Wednesday 13:00-13:50 9-16, 18-22
Friday 13:00-13:50 9-15, 18-22

Tutorial

Stream Days Times Weeks
Attend one stream from
A1 Tuesday 10:00-10:50 9-16, 18-22
A2 Tuesday 15:00-15:50 9-16, 18-22
A3 Wednesday 10:00-10:50 9-16, 18-22
A4 Thursday 10:00-10:50 9-16, 18-22
A5 Thursday 12:00-12:50 9-16, 18-22

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 0.1500
Points 18 points
Teaching period First Semester
Domestic Tuition Fees (NZD) $904.05
International Tuition Fees (NZD) $3,954.75

^ Top of page

Prerequisite
STAT 110 or STAT 115 or BSNS 112
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

dmackenzie@maths.otago.ac.nz

Teaching staff

Dr Matthew Schofield

Assoc. Prof. Darryl MacKenzie

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.
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.

^ Top of page

Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Lecture

Stream Days Times Weeks
Attend
A1 Monday 13:00-13:50 9-15, 17, 19-22
Wednesday 13:00-13:50 9-15, 17-22
Friday 13:00-13:50 9-14, 17-22

Tutorial

Stream Days Times Weeks
Attend one stream from
A1 Tuesday 10:00-10:50 9-15, 17-22
A2 Tuesday 15:00-15:50 9-15, 17-22
A3 Wednesday 10:00-10:50 9-15, 17-22
A4 Thursday 10:00-10:50 9-15, 17-22
A5 Thursday 12:00-12:50 9-15, 17-22