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STAT100 Statistical Modelling for the Sciences I

Updated: 14 October 2011
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study
Armidale Trimester 1 Off Campus
Armidale Trimester 2 Off Campus
Armidale Trimester 2 On Campus
Intensive School(s) None
Supervised Exam There is a UNE Supervised Examination held at the end of the teaching period in which you are enrolled.
Pre-requisites None
Co-requisites None
Restrictions MATH101 or MATH102 or QM161
Notes

off-campus students should have access to the statistical package R
Combined Units None
Coordinator(s)
Unit Description

This is a foundation unit in statistics. Students will learn how to collect, organise, graph, and analyse data. Topics include exploratory data analysis, randomness associated with experiment data, statistical modelling, sampling, probability, regression, analysis of variance, and tests of significance. Statistical computing forms an integral part of the unit. Students will be required to use web material for assignments. The R statistical software will be supplied.
Prescribed Material
Mandatory 		Text(s):

Note: Students are expected to purchase prescribed material

Mind on Statistics
ISBN: 9780538733489
Utts, J.M. and Heckard, R.F., Brooks/Cole 4th ed. 2012
Text refers to: Trimester 1 and 2 , On and Off Campus
Referenced Material
Optional 		Text(s):

Note: Reference material is held in the University Library - purchase is optional

Introductory Statistics with R
ISBN: 9780387954752
Dalgaard, P., Springer 3rd ed. 2002
Note: Online version available through Dixson Library, UNE
Text refers to: Trimester 1 and 2 , On and Off Campus
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment
Title Exam Length Weight Mode No. Words
Assignment 1 10%
Assessment Notes
Assignments requiring calculations. Must obtain at least 40% for the assignments overall.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3, 4 GA: 1, 2, 4, 6
Assignment 2 10%
Assessment Notes
Assignments requiring calculations. Must obtain at least 40% for the assignments overall.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3, 4, 5 GA: 1, 2, 4, 6
Assignment 3 10%
Assessment Notes
Assignments requiring calculations. Must obtain at least 40% for the assignments overall.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3, 4, 5 GA: 1, 2, 4, 6
Assignment 4 10%
Assessment Notes
Assignments requiring calculations. Must obtain at least 40% for the assignments overall.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3, 4, 5, 6 GA: 1, 2, 4, 6
Quiz 10%
Assessment Notes
Five online quizzes at 2% each
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 3, 4 GA: 2
Final Examination 2 hrs 50%
Assessment Notes
Must obtain at least 40% in the Final Examination and obtain an overall passing grade.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 3, 4, 5 GA: 1, 2, 6

Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. summarise, display and interpret data sets;
  2. use computer software to generate statistics and graphical representations of data;
  3. visualise data to discern systematic and random components;
  4. fit and interpret simple statistical models;
  5. produce a report that is understandable by someone with little statistical knowledge, which describes statistical analysis, results and conclusions; and
  6. read, understand and critique articles that contain statistical information.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
Knowledge of the discipline is imparted by lecture, online material and by notes, and it is assessed by practical computer workshops, tutorials as well as by written assignments and written examination. 		True True True
2 Communication Skills
Students are required to explain statistical concepts and analysis in tutorials and computer workshops. Written assignments require students to interpret and explain results of analysis and to include informative conclusions. Communication via the online discussion board is also encouraged. 		True True True
3 Global Perspectives
Historical and modern development of statistical method and statistical theory is addressed throughout the unit in lectures. 		True
4 Information Literacy
Students are required to retrieve, process and assimilate information from a variety of sources including CD, internet, text books, study guides and journals. 		True True True
5 Life-Long Learning
Examples of the application of modern statistics in the sciences allows students to appreciate the need to continually update and build on their statistical knowledge. 		True
6 Problem Solving
Statistics is a fundamental tool in the scientific method. Students need to apply statistical methods to address research questions. 		True True True
7 Social Responsibility
Ethical issues of data collection, experimental design and reporting of results are discussed throughout the unit. 		True
8 Team Work
Students are required to work in small groups in tutorials and computer workshops. This assists students to clarify understanding of fundamental statistical concepts, and promote cooperative learning. 		True
   

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