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620-160 Experimental Design & Data Analysis | |
Note |
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Credit Points | 12.5 |
HECS Band | 2 |
Coordinator | Assoc Prof F Klebaner |
Semester | 1, repeat 2, Summer (view timetable) |
Contact | 36 lectures (three per week), 11 hours practical classes (1 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; application of computer software to data analysis. |
Assessment | Up to 36 pages of written assignments or project work, a 1-hour mid-semester test and a 3-hour written examination. |
Search : Index : Faculty of Science : Mathematics and statistics
Prev 620-143 Applied Mathematics
Next 620-161 Introductory Mathematics A
Status: Official 2001 Last Modified: Wednesday May 23 22:26 SGML to HTML Conversion: Information Technology Services Authorised by: Academic Registrar Email Enquiries: Course_Information@registrar.unimelb.edu.au