An introduction to probability theory and mathematical statistics. Probability, random variables, sampling distributions, estimation, hypothesis testing, simulation.
In the first year, Statistics papers emphasise the methods of statistics: which techniques and tests are applied in which situations. In this paper, you will learn some of the theory and mathematics behind those methods. This is important because you will:
- Better understand where those standard methods come from and why they are used
- Learn how to conduct analyses and design statistical methods for the many cases in which the 'standard' toolbox is inadequate
|Paper title||Probability and Inference 1|
|Teaching period||First Semester|
|Domestic Tuition Fees (NZD)||$868.95|
|International Tuition Fees (NZD)||$3,656.70|
- MATH 160 and one of STAT 110, STAT 115, COMO 101, BSNS 102, BSNS 112, QUAN 101
- Schedule C
- Arts and Music, Science
- It is particularly useful for those majoring in Mathematics, Statistics, Economics, Finance and Quantitative Analysis, Psychology, Zoology or any other field in which statistics is used.
- More information link
- View more information about STAT 261
- Teaching staff
- Dr Ting Wang and Dr Matthew Parry
- Paper Structure
- Main topics:
- Introduction to probability
- Random variables and distributions
- Expectation and variance
- Transformations of random variables
- Statistical models
- Estimators and likelihood
- Confidence intervals and hypothesis testing
- Bayesian inference
- Teaching Arrangements
- 32 lectures and 10 tutorials.
- Textbooks are not required for this paper.
- Course outline
- View course outline for STAT 261
- Graduate Attributes Emphasised
- Critical thinking, Information literacy, Self-motivation.
View more information about Otago's graduate attributes.
- Learning Outcomes
- Students who successfully complete the paper will develop an ability to conduct analyses and design statistical methods for cases in which the 'standard' toolbox is inadequate.