Area: |
Department of Mathematics and Statistics |
Credits: |
25.0 |
Contact Hours: |
6.0 |
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** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** |
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Lecture: |
2 x 2 Hours Weekly |
Tutorial: |
2 x 1 Hours Weekly |
Anti Requisite(s): |
7149 (v.7) Principles of Statistics 101 or any previous version
307591 (v.1) Data Evaluation and Experimental Design 103 or any previous version
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Prerequisite(s): |
307590 (v.1) Data Evaluation and Experimental Design 101 or any previous version
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Syllabus: |
Designed for students with TEE Applicable Mathematics and covers the topics of probability theory, analysis of categorical data, regression analysis, and non parametric methods. |
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** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** |
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Field of Education: |
10100 Mathematical Sciences (Narrow Grouping) |
HECS Band (if applicable): |
2 |
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Extent to which this unit or thesis utilises online information: |
Essential |
Result Type: |
Grade/Mark |
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Availability |
Year |
Location |
Period |
Internal |
Area External |
Central External |
2004 |
Bentley Campus |
Semester 2 |
Y |
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Area External |
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
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