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303397 (v.2) Methods of Applied Statistics 401
Area: | Muresk Institute |
Credits: | 25.0 |
Contact Hours: | 5.0 |
Lecture: | 1 x 2 Hours Weekly |
Tutorial: | 1 x 3 Hours Weekly |
Equivalent(s): | 11408 (v.3) Agribusiness Statistics 401
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Syllabus: | Application of statistical methods for solving problems in agribusiness. Review principles and applications of various statistical techniques. Review statistical concepts and methods including presentation of data calculating numerical measures of location and variability, sampling methods, design sample frame, data transformation. Explore the relationship between experimental design and analysis including variance (ANOVA), multivariable analysis of variance, non-parametric techniques, time series analysis, comparison of means (t-test), correlation analysis, multiple regression analysis, factor analysis, discrimanent analysis, and cluster analysis. Students will learn vaious techniques for analysing and presenting qualitative and aquantitative data, as well as other numerical measures of univariate and multivariate statistics. |
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Unit Outcomes: | On completion of this unit students will be able to - Summarise and present data using graphical and tabular techniques. Differentiate sampling methods and select appropriate sampling method(s) for different problems and/or analytical situations. Design sampling frame including sampling size selection. Perform data screening and data transformation. Identify various statistical techniques for analysing, summarising and presenting qualitative and quantitative data. Explain the theoretical aspects of statistical techniques including analysis of variance (ANOVA), comparison of means, non-parametric techniques, correlation analysis, multiple regression analysis, factor analysis, discriminant analysis, and cluster analysis. Demonstrate skills and knowledge ofprinciples and techniques learned in the unit through design, analysis and interpretation of a group statistics project and other activities, perform statistical analysis using a statistical package such as SPSS and interpret their results. Write clear and concise reports and demonstrate capacity to work independently as well as to participate in teams. |
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: | Anderson D.R, Sweeney D.J and Williams T.A., (1994), Introduction to Statistics-Concepts and Applications, 3rd ed, Minneapolis, West Publishing Company. Norusis M.J.,(1995), SPSS for Windows: Base System User's Guide, Chicago, Release 6.0. SPSS Inc. Norusis M.J., (1995), SPSS Professional Statistics 6.1. Chicago, Release 6.0. SPSS Inc. |
Unit Texts: | Selvanathan A, Selvanathan S, Keller G, Warrack B and Bartel H., (2000), Australian Business Statistics, 2nd ed, Melbourne, International Thomson Publishing Company. Zikmund W.G., (2000), Business Research Methods, Fort Worth, Dryden Press. |
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Unit Assessment Breakdown: | Continuous Assessment 60%, Examination 40%. This is by Grade/Mark assessment. |
Field of Education: | 50100 Agriculture (Narrow Grouping) | HECS Band (if applicable): | 2 |
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Extent to which this unit or thesis utilises online information: | Supplemental | 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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