307590 (v.1) Data Evaluation and Experimental Design 101


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
307591 (v.1) Data Evaluation and Experimental Design 103 or any previous version
 

Syllabus:

Exploratory data analysis, numerical and graphical summaries of univariate data, and transformations. Graphical evaluation of bi-variate data, normal distribution, normal calculations, and checks for normality. Experiments, random sampling, design of experiments. Central Limit Theorem. Introduction to inference fro a single mean. Checking assumptions, confidence intervals and hypothesis tests using Z and T, and SPSS. Two means, testing of variances, inference for dependent and independent cases by hand and on SPSS. More than two means, ANOVA, on SPSS.
 
** 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:

10100 Mathematical Sciences (Narrow Grouping)

HECS Band (if applicable):

2

Extent to which this unit or thesis
utilises online information:

Essential

Result Type:

Grade/Mark

Availability

Year Location Period Internal Area External Central External
2004 Bentley Campus Semester 1 Y    
2004 Bentley Campus Semester 2 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