Courses Handbook 2006 - [Archived]

307591 (v.1) Data Evaluation and Experimental Design 103


Area:

Department of Mathematics and Statistics

Credits:

12.5

Contact Hours:

3.0
 
** 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 1 Hours Weekly

Anti Requisite(s):

7149 (v.7) Principles of Statistics 101 or any previous version
10925 (v.3) Principles of Statistics 103 or any previous version
307590 (v.1) Data Evaluation and Experimental Design 101 or any previous version
 

Syllabus:

Designed for students with TEE Applicable Mathematics. Regression Analysis. Simple linear regression - measures of model adequacy, residual analysis, transformations, Inference for slope and intercept. Confidence and prediction intervals for future responses. Multiple linear regression - estimation of model parameters, inference regarding model parameters and predictions, ANOVA, regression diagnostics, variable selection and model building. No-parametric methods. Introduction to non parametric analysis.No-parametric tests - sign test, signed-rank test, rank-sum test, runs test. Kruskal Wallace test, rank correlation coefficient Checking distributions - Q-Q plots and Kolmogorov Smirnov.
 
** 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:

010101 Mathematics

Funding Cluster:

04 - Mathematics, Statistics

SOLT (Online) Definitions*:

Essential
*Extent to which this unit or thesis utilises online information

Result Type:

Grade/Mark

Availability

Year Location Period Internal Partially Online Internal Area External Central External Fully Online
2006 Bentley Campus Semester 1 Y        
2006 Bentley Campus Semester 2 Y        
Area
External
refers to external course/units run by the School or Department or offered by research.
Central
External
refers to external and online course/units run through the Curtin Bentley-based Distance Education Area
Partially
Online
Internal
refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
Fully
Online
refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External

 
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