Area: | Department of Mathematics and Statistics |
Credits: | 12.5 |
Contact Hours: | 2.0 |
Lecture: | 2 x 1 Hours Weekly |
Prerequisite(s): | 1373 (v.5) Statistics 121 or any previous version
AND
7056 (v.5) Mathematics 111 or any previous version
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Syllabus: | Introduction to analytical problems and handling of errors in analysis. Significance tests, quality control and sampling. Introduction to experimental design and analysis of variance, regression and correlation, calibration, factorial designs, response surface methods and non-parametric methods. |
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Unit Outcomes: | To expose students to basic statistical knowledge and skills needed to extract useful information and analyse data from observational and designed experiments. |
Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases. |
Unit References: | Miller, J.C. Miller, J.N, Ellis-Howard 2001 "Statistics for Analytical Chemistry", 3rd Edition. R. Lyman Ott, Marion Roussel, Michael T. Longnecker 2001 "An Introduction to Statistical Methods and Data Analysis", 5th Edition, Duxbury Press |
Unit Texts: | No prescribed text |
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Unit Assessment Breakdown: | Tutorials and Attendence: 15%, Test: 15%, Assignment: 20%, Final examination: 50% |
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: | Not Online | Result Type: | Grade/Mark |
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Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 2 | Y | | |
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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