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305370 (v.1) Methods of Applied Statistics 501
Area: | Muresk Institute |
Credits: | 25.0 |
Contact Hours: | 5.0 |
Lecture: | 1 x 2 Hours Weekly |
Tutorial: | 1 x 3 Hours Weekly |
Syllabus: | Application of statistical methods for solving problems in agribusiness. Review principles and applications of various statistical techniques. Review of 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 include variance (ANOVA), multivariable analysis of variance, non-parametric techniques, time series analysis, comparison of means (t-test), correlation analysis, multiple regression analysis, factor analysis, discriminate analysis, and cluster analysis. Various techniques for analysing and presenting qualitative and quantitative data, as well as other numerical measures of univariate and multivariate statistics. |
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Unit Outcomes: | On successful completion of this unit students will have - Summarised and presented data using graphical and tabular techniques. Differentiated sampling methods and select appropriate sampling method(s) for different problems and/or analytical situations. Designed sampling frame including sampling size selection. Performed data screening and data transformation. Identified various statistical techniques for analysing, summarising and presenting qualitative and quantitative data. Explained the theoreticalaspects 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. Demonstrated skills and knowledge of principles and techniques learned in the unit through design, analysis and interpretation of a statistics project and other activities, perform statistical analysis using a statistical package such as SPSS and interpret their results. Written clear and concise reports and demonstrate capacity to work independently. |
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: | Selcanathan A, Selcanathan 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 70%, Examination 30%. This is a 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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