This paper provides a broad introduction to statistical practice and data analysis techniques. It aims to equip students with a basic understanding of statistics, such that they are able to employ appropriate methods of analysis in various circumstances. The techniques learnt are widely used in the sciences, social sciences, business and many other fields of study. Topics covered include collecting data, getting information from data, data manipulation, statistical inference, regression and analysis of categorical data.
Carolyn Munro G.2.28, ext 5170
Daven Illenberger (dki3);
Mark Savage (mms28);
Leonard Harris (ljh40)
Lyn Hunt (16 July - 24 August 2012)
Steven Miller (10 September - 19 October 2012)
Lecture 1: Tuesday 2pm - L.G.01
Lecture 2: Wednesday 11am - ELT.G.01
Lecture 3:Thursday 10am - L.G.01
Lecture 4: Thursday 11am - L.G.01
There are no pre-requisite papers.
STAT121 Introduction to Statistical Methods
STAT160 Management Statistics
Class attendance is expected. The course notes provided are not comprehensive, additional material will be covered in class. You are responsible for all material covered in class.
Students should expect to spend a minimum of about 10 hours per week on this paper. This includes the 4 contact lecture hours mentioned above as well as the 1 hour tutorial.
Tutorials must be handed in by Friday 10.00am in the locked box outside the Statistics Department.
Test 1 - Date to be confirmed L.G.01 & L.G.02
Assignment 1 - Due 10am (date to be confirmed
Assignment 2 - Due 10am (date to be confirmed)
The assessment is comprised of two components; your internal work and your final exam. The internal work : final exam ratio will be (1/2):(1/2). However you must achieve at least 40% in both internal work and final exam to achieve a clear pass.
Internal assessment/final examination ratio 1:1
Students are encouraged to purchase the course notes booklet which is available from Campus Print.
Highly Recommended Text: Modern Statistics: A Graphical Introduction by Don McNeil. 2006.
Entry to this paper is granted to students who either have been accepted into the BSc programme in the School of Science & Engineering or who meet the requirements for admission to STAT121 Introduction to Statistical Methods. Students with weak Mathematics backgrounds are advised to take MATH168 Preparatory Mathematics before attempting STAT111.
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