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    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 ) $981.75
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    BSNS 112 or STAT 110 or STAT 115
    ECON 210, FINC 203, STAT 241
    Schedule C
    Arts and Music, Science

    This paper is intended for students from all disciplines who are interested in learning more about the application of statistical methods.


    Teaching staff

    Dr. Peter Dillingham

    Dr Conor Kresin

    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 are not required for this paper.
    Course outline

    View the course outline for STAT210

    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


    Semester 1

    Teaching method
    This paper is taught On Campus
    Learning management system

    Computer Lab

    Stream Days Times Weeks
    Attend one stream from
    A1 Tuesday 10:00-10:50 9-13, 15-22
    A2 Tuesday 13:00-13:50 9-13, 15-22
    A3 Wednesday 10:00-10:50 9-13, 15-22
    A4 Thursday 10:00-10:50 9-13, 15-16, 18-22
    A5 Thursday 12:00-12:50 9-13, 15-16, 18-22


    Stream Days Times Weeks
    A1 Monday 13:00-13:50 9-13, 15-22
    Wednesday 13:00-13:50 9-13, 15-22
    Friday 13:00-13:50 9-12, 15-22

    Terms Test (Streamed)

    Stream Days Times Weeks
    A1 Tuesday 19:00-19:50 16
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