Probability Theory (STAT20110)

Credits 
5 
Subject 
Statistics & Actuarial Science 
Level 
2 
School 
Mathematics and Statistics 
Semester 
Autumn 
Module Coordinator 
Dr Fabio Cunden 
This module is an introduction to probability, with examples and applications. Topics covered will include: outcomes, events, and probability; independence; random variables and distributions; expected value, moments and variance; permutations and combinations; binomial, multinomial and Poisson distributions; conditional probability; continuous distributions; law of averages; central limit theorem.
An ability to understand the origins and development of probability theory. An ability to appropriately use many of the classic discrete and continuous probability distributions. An appreciation and ability to use the law of averages and the central limit theorem.
 Hrs/Semester 
Lectures  24 
Tutorial  11 
Computer Aided Lab  11 
Autonomous Student Learning  77 
Total Workload  123 
 % of Final Grade  Timing 
Examination: Final 2 hour written exam.  100  2 hour End of Trimester Exam 
Compensation 
This module is not passable by compensation 
Resit Opportunities 
End of Semester Exam 
Remediation 
If you fail this module you may repeat, resit or substitute where permissible. 
Module Requisites and Incompatibles 
PreRequisite : 
Required : 
CoRequisite : 
Incompatibles : Research Methods (STAT10010), Research Methods for Science (STAT10140) 
Additional Information : 
Equivalent Modules 

Prior Learning 
Requirements: 

Excluded: 

Recommended: 
Desirable to already have taken a basic course in Statistics and be familar with integration and differentiation. 
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