# STAT411 Probability and Inference 3

An overview of advanced probability theory and the classical theory of statistical inference.

Paper title Probability and Inference 3 STAT411 Statistics 0.1667 20 points First Semester \$1,076.55 \$4,267.52
Learning Outcomes
Students who successfully complete the paper will develop
• A firm grounding in the fundamentals of advanced statistical theory
• An understanding as to how such theory can be used in practice
Contact
mparry@maths.otago.ac.nz
Teaching staff
Dr Graham Wood
Paper Structure
Topics:
• Probability theory
• Random variables
• Distributions and models
• Point estimation
• Interval estimation
• Hypothesis testing
• Likelihood-based inference
Teaching Arrangements
Three 1-hour lectures per week, plus a weekly tutorial session
Textbooks
Required text: Statistical Inference by George Casella and Roger Berger (2002: Second Edition, Duxbury).
Course outline
View course outline for STAT 411
Communication, Critical thinking, Information literacy, Research.

## Timetable

### First Semester

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

An overview of advanced probability theory and the classical theory of statistical inference.

Paper title Probability and Inference 3 STAT411 Statistics 0.1667 20 points First Semester Tuition Fees for 2018 have not yet been set Tuition Fees for international students are elsewhere on this website.
Contact
mparry@maths.otago.ac.nz
Teaching staff
To be confirmed.
Paper Structure
Topics:
• Probability theory
• Random variables
• Distributions and models
• Point estimation
• Interval estimation
• Hypothesis testing
• Likelihood-based inference
Teaching Arrangements
Three 1-hour lectures per week, plus a weekly tutorial session.
Textbooks
Required text: Statistical Inference by George Casella and Roger Berger (2002: Second Edition, Duxbury).
Course outline
View course outline for STAT 411
Communication, Critical thinking, Information literacy, Research.
Learning Outcomes
Students who successfully complete the paper will develop
• A firm grounding in the fundamentals of advanced statistical theory
• An understanding as to how such theory can be used in practice
Eligibility