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

Area:

Department of Mathematics and Statistics

Contact Hours:

3.0

Credits:

12.5

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

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, and introduction to inference. Inference for means, one mean, introduction to inference, and central limit theorem. Checking assumptions, confidence intervals and hypothesis tests using Z and T, and SPSS. Two means, testing of variances, inference for dependent and independent cases, and SPSS. More than two means, ANOVA, and SPSS.

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

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