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STAT401 Applied Statistical Methods and Models

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Theory and methods of statistics, with applications.

Paper title Applied Statistical Methods and Models
Paper code STAT401
Subject Statistics
EFTS 0.1667
Points 20 points
Teaching period Semester 1 (On campus)
Domestic Tuition Fees Tuition Fees for 2022 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Prerequisite
(STAT 210 and STAT 260) or (HASC 413 and HASC 415)
Contact

martin.hazelton@otago.ac.nz

Teaching staff

Martin Hazelton
Xun Xiao

Textbooks

Recommended reading:

  • Rice, J. A. (2006). Mathematical statistics and data analysis. Nelson Education. (3rd edition)
  • Faraway, J. J. (2016). Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Chapman and Hall/CRC
Graduate Attributes Emphasised

interdisciplinary perspective, lifelong learning, scholarship, communication, critical thinking, ethics, information literacy, research, self-motivation
View more information about Otago's graduate attributes.

Learning Outcomes

Students successfully completing this course will be able to demonstrate the following:

  • Understanding of probability, distributions, and how this informs data analysis
  • Knowledge of different paradigms for statistical inference
  • Understanding of the relationship between theory and some of the most commonly used statistical modelling techniques, especially regression
  • Ability to develop methods for problems without standard solutions using maximum likelihood
  • Ability to apply methodology and statistical computing to analyse data using advanced regression techniques, and interpret results in a logical manner
  • Autonomy and judgement in presenting results to others, including non-scientists

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Timetable

Semester 1

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

Computer Lab

Stream Days Times Weeks
Attend
A1 Friday 12:00-12:50 9-14, 17-22

Lecture

Stream Days Times Weeks
Attend
A1 Tuesday 11:00-12:50 9-15, 17-22
Friday 11:00-11:50 9-14, 17-22