Program Overview

Introduction to STAT 293: Applied Statistical Modelling

The STAT 293 course is designed to introduce students to several statistical modelling techniques appropriate for exploring relationships between variables in many fields, including biology, health, physical, behavioural, and social sciences. This course provides students with an understanding and experience of applied statistical modelling techniques at an advanced level.

Course Details

• Course Code: STAT 293
• Duration: 18 weeks
• Start Date: 6 July 2026
• End Date: 8 November 2026
• Trimester: Trimester 2
• CRN: 18332
• Campus: Kelburn
• Fees:
  • Domestic students: NZ$953.25
  • International students: NZ$5,058.00
• Lecture Times:
  • Monday: 1.10pm
  • Wednesday: 1.10pm
  • Thursday: 1.10pm
• Estimated Workload: Approximately 150 hours or 8.3 hours per week
• Points: 15

Entry Restrictions

• Prerequisites: STAT 292
• Corequisites: None
• Restrictions: None

Course Learning Objectives

Students who pass this course should be able to:

1. Understand and apply the basic theory and concepts of analysis of variance, permutation testing, and multiple linear, Poisson, and negative binomial regression.
2. Use the software program R to analyse data using ANOVA or permutation testing for one-way, randomised block, or nested designs.
3. Use the software program R to perform multiple linear, Poisson, or negative binomial regression, the associated diagnostics, and variable selection techniques.
4. Interpret results of the above-stated analyses.

How This Course is Taught

This course is taught via lectures and tutorials. The course is designed for in-person study, and students are strongly recommended to attend lectures and tutorial labs on campus. Some assessment items (tests and exams) will require in-person attendance.

Assessment

• Test 2: 40%
• Assignment 1: 7.5%
• Assignment 2: 7.5%
• Test 1: 25%
• Assignment 3: 10%
• Assignment 4: 10%

Mandatory Requirements

To pass this course, students must:

1. Achieve an overall pass mark of at least 50%.
2. Achieve at least 40% on the combined marks from both tests.

What You'll Need to Get

• Use of the freely available computing software R is required.
• A laptop with RStudio installed is sufficient throughout the course.
• For in-person tests and exams, students will need a simple scientific calculator or graphics calculator.
• Students who are permitted to take tests remotely must have access to a computer with a camera and microphone and a reliable high-speed internet connection.

Taught By

• School: School of Mathematics and Statistics — Faculty of Science and Engineering

Disclaimer

This course outline may be subject to change.