620-160 Experimental Design & Data Analysis | |
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Note |
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Credit Points | 12.5 |
HECS Band | 2 |
Coordinator | K Baker |
Prerequisites | VCE Mathematical Methods 3/4 |
Semester | 1, repeat 2, Summer (view timetable) |
Contact | Thirty-six lectures (three per week), 11 hours practical classes (one hour per week) and 11 1-hour tutorials (one per week) |
Subject Description | This subject lays the foundations for subsequent studies in probability and statistics, as well as being vital for students who need to use probability and statistics in other subjects in their course. Students completing this subject will develop skills in probability modelling and data analysis, and appreciate the significance of random variation in science, technology 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 distribution-free methods; introduction to bivariate data, including correlation and linear regression; scientific method and experimental design, including randomisation, blocking, factorial structure; inference for regression; and application of computer software to data analysis. |
Assessment | Up to 36 pages of written assignments or project work and a 3-hour written examination. |
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