10811 (v.3) Business Statistics 202
| 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. |
| Text and references listed above are for your information only and current as of September 30, 2003. Please check with the unit coordinator for up-to-date information. |
| 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. |
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 1 | Y | | | |
Current as of: February 2, 2004
CRICOS provider code 00301J
