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Module Title
LI Statistics
School
Mathematics
Department
Mathematics
Module Code
06 30563
Module Lead
Nick Webber
Level
Intermediate Level
Credits
20
Semester
Semester 2
Pre-requisites
Co-requisites
Restrictions
Available only to students on the Jinan Dual Degree programmes
Contact Hours
Lecture-44 hours
Practical Classes and workshops-4 hours
Supervised time in studio/workshop-24 hours
Guided independent study-128 hours Total: 200 hours
Exclusions
Description
Statistics is the study of uncertainty, which arises in all aspects of life. How long will I live for? What is the probability that Birmingham City will win the FA Cup this season? Will it rain today? What is the probability that I will win the lottery this week? Statistical theory and methods are fundamental to our understanding of such uncertainty, and are an increasingly sought after skill. For example, Google uses statistics to improve their search algorithms; medical research uses statistics to design and analyse clinical trials evaluating whether a new cancer treatment is effective; and actuarial and economic teams use statistics to make accurate predictions about future risks and outcomes. This module presents a parallel development of statistical theory and methods, building on the introductory material in Probability & Statistics. Topics covered include classical linear models, with an introduction to the analysis of variance; basic methods for handling discrete data; further work in the theory of probability distributions; and some aspects of the theory of estimation and hypothesis testing. In the computing sessions, a statistical package is used to illustrate the application of statistical methods to the analysis of some typical data sets.
Learning Outcomes
By the end of the module students should be able to:
demonstrate a basic understanding of the principles of statistical inference;
handle simple problems in the distributional calculus;
identify standard situations to which statistical models apply;
build statistical models and use them for the analysis of data;
demonstrate fluency with a standard statistical package.
Assessment
30563-01 : Raw Module Mark : Coursework (100%)
Assessment Methods & Exceptions
Assessment: 3 hour examination (80%), work done during semester (20%)
Reassessment: best of 3 hour resit examination (100%) or 3 hour resit examination (80%) and work done during the semester (20%)
Other
Delivery Location: Jinan University, China via Flying Faculty