620-160 Experimental Design & Data Analysis

Note

Students may not gain credit for 620-160 and one of 316-130 and 620-152.

Students who have completed 620-131, 620-202, 620-270 or 620-272 may not enrol in this subject for credit.

Credit Points

12.5

Coordinator

Dr A Robinson

Prerequisites

VCE Mathematical Methods 3/4.

Semester

1, repeat 2 (view timetable)

Contact

36 lectures (three per week), 11 one-hour computer laboratory classes (one per week) and 11 one-hour tutorials (one per week)

Subject Description

This subject lays the foundations for subsequent studies in statistics, as well as being vital for students who need to apply statistics in other subjects. Students completing this subject will develop skills in statistical modelling and data analysis, and appreciate the relevance of random variation to science, engineering and commerce.

Topics include data description and analysis; elementary distribution theory: binomial and normal distributions; random sampling; population parameters and sample statistics; estimation, confidence intervals and hypothesis testing based on the binomial and normal distributions; introduction to bivariate data, including correlation and linear regression; scientific method and experimental design, including randomisation and blocking; inference for regression; one-way analysis of variance; contingency tables; and application of computer software to data analysis.

Assessment

Up to 36 pages of written assignments or project work during semester (20%); a 3-hour written examination in the examination period (80%).



Status:                   Official 2007
Last Modified:            Tuesday October 31 22:21
SGML to HTML Conversion:  Information Division - CWIS (SDI)
Authorised by:            Academic Registrar
Enquiries:                http://unimelb.custhelp.com/

Valid CSS! Valid XHTML 1.0!