| 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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| Other Requisite(s): | Admission: to Honours Program.
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| Syllabus: | Application of statistical techniques to practical research problems. Scientific method, problem solving, research and questionnaire design. Basic statistical thinking and techniques Analysis of Variation, cross tabulation, multiple regression, factor, cluster, and discriminant analysis. Other topics in research data analysis. |
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| Unit Outcomes: | On successful completion of this unit, students will have - Understood the role of data analysis in research. Analysed data for a range of research situations and draw appropriate conclusions. Competency in using a modern statistical computer package 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 | | | |
