# STAT370 Statistical Inference

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A continuation of the theoretical development begun in STAT270, this paper will cover the theory of ordinary least squares, maximum likelihood estimation and inference, hypothesis testing, and Bayesian inference.

This course continues to develop theory for making inference from data that was introduced in STAT 270 (or STAT 261). The tools developed by statisticians for analysing data have become a major factor in the advancement of scientific knowledge. Why are these tools so useful? The reason is that they are based on an agreed system of mathematical and statistical reasoning. In order to be confident that the methods used by a statistician are reliable we need an understanding of this theory.

Paper title Statistical Inference STAT370 Statistics 0.15 18 points Semester 2 (On campus) \$929.55 Tuition Fees for international students are elsewhere on this website.
Prerequisite
MATH 140 and (STAT 261 or STAT 270)
Restriction
STAT 362
Schedule C
Arts and Music, Science
Eligibility

Students should have completed both STAT 270 (or 261) and MATH 170

Contact

Dr Ting Wang

Teaching staff

Associate Professor Ting Wang

Dr Austina Clark

Dr Matthew Schofield

Paper Structure

Main topics:

• The general linear model
• The likelihood function
• Bayesian inference
• Maximum likelihood estimation
• Hypothesis testing using the likelihood function
• Model selection using the likelihood function
Textbooks

Textbooks are not required for this paper

Lifelong learning, Scholarship, Critical thinking, Information literacy, Research, Self-motivation.
Learning Outcomes

Students who successfully complete the paper will develop an understanding of key concepts in mathematical statistics.

## Timetable

### Semester 2

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

#### Lecture

Stream Days Times Weeks
Attend
A1 Tuesday 11:00-11:50 28-34, 36-41
Wednesday 11:00-11:50 28-34, 36-41
Friday 11:00-11:50 28-34, 36-41

#### Tutorial

Stream Days Times Weeks
Attend
A1 Wednesday 15:00-15:50 28-34, 36-41