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Theory and methods of statistics, with applications.
|Paper title||Applied Statistical Methods and Models|
|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.|
- (STAT 210 and STAT 260) or (HASC 413 and HASC 415)
- More information link
- Teaching staff
- 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