Area: |
Department of Mathematics and Statistics |
Credits: |
12.5 |
Contact Hours: |
3.0 |
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| ** 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. ** |
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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
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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. |
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| ** 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. ** |
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Field of Education: |
10100 Mathematical Sciences (Narrow Grouping) |
HECS Band (if applicable): |
2 |
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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 |
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