STAT4002 (v.1) Introduction to Applied Statistics
| Area: | Department of Mathematics and Statistics |
|---|---|
| Credits: | 25.0 |
| Contact Hours: | 3.0 |
| TUITION PATTERNS: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
| Lecture: | 3 x 1 Hours Weekly |
| Equivalent(s): |
302332 (v.3)
Applied Statistics 401
or any previous version
|
| UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS: | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
| Syllabus: | Review of exploratory data analysis: t-tests and non-parametric equivalents and power analysis. Experimental design and analysis of variance: review of one-way analysis of variance model; model diagnostics; multiple comparison techniques; principles of experimental designs; ANOVA for some standard experimental designs like randomised block design; Latin square design; split plot and nested design; factorial method of experimentation and analysis; experimentation with repeated measures; and analysis of covariance. Examples of applications using SPSS. Multiple linear regression: review of simple linear regression. The multiple linear regression model, parameter estimation and inferences about the regression parameters, F-testing overall model fit, variable selection and the stepwise algorithm for variable selection, model diagnostics and prediction. Examples of applications using SPSS. Multivariate methods: introduction, principal component analysis, clustering, discriminant analysis and MANOVA. Examples of applications using SPSS. Introduction to contingency tables and models for discrete. |
| Field of Education: | 010103 Statistics |
| Result Type: | Grade/Mark |
Availability
Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.
Handbook
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