305370 (v.1) Methods of Applied Statistics 501

Area:

Muresk Institute

Credits:

25.0

Contact Hours:

5.0

** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. **

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.

** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. **

Field of Education:

50100 Agriculture (Narrow Grouping)

HECS Band (if applicable):

Extent to which this unit or thesis
utilises online information:

Supplemental

Result Type:

Grade/Mark

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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