Area: | School of Information Systems |
Credits: | 25.0 |
Contact Hours: | 3.0 |
Seminar: | 1 x 3 Hours Weekly |
Prerequisite(s): | 10993 (v.3) Business Statistics 101 or any previous version
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Syllabus: | Investigation methods, sample design and variability, survey methods and measurements, exploratory data analysis, factor analysis, cluster analysis, cross classification, discriminant analysis, extended multiple regression, other topics in data analysis. |
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Unit Outcomes: | On successful completion of the unit students will have - Understood the role of data analysis in research. Analysed data for a range of research situations and drawn appropriate conclusions. Be competent in using a modern statistical computer packages in suitably selected applications. |
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: | Coakes and Steed, SPSS Analysis without anguish. Dillon and Goldstein, Multivariate Analysis. |
Unit Texts: | Hair, et al. (1998), Multivariate Data Analysis. New York, Prentice Hall. |
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Unit Assessment Breakdown: | Examination 50%, Project 30%, Student presentation 20%. This is by grade/mark assessment. |
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 1 | 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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