STAT3003 (v.1) Applied Statistics
| Area: | School of Elec Eng, Comp and Math Sci (EECMS) |
|---|---|
| Credits: | 25.0 |
| Contact Hours: | 4.0 |
| 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: | 1 x 2 Hours Weekly |
| Computer Laboratory: | 1 x 1 Hours Weekly |
| Workshop: | 1 x 1 Hours Weekly |
| Equivalent(s): |
3975 (v.5)
Applied Statistics 302
or any previous version
|
| Prerequisite(s): |
8128 (v.6)
Linear Algebra 202
or any previous version
OR MATH2010 (v.2) Linear Algebra 2 or any previous version AND 302315 (v.2) Mathematical Statistics 202 or any previous version OR STAT2001 (v.1) Mathematical Statistics 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: | This unit will cover methods of multivariate statistical analysis. Students will acquire practical skills in analysing multivariate data using statistical packages (like R and SAS) and understanding of corresponding theoretical framework. Topics covered include: review of matrix algebra; random vectors, mean vectors, covariance and correlation matrices; multivariate normal distribution and its properties; random samples from the multivariate normal and sampling distributions thereof; inference for multivariate normal parameters, maximum likelihood estimation, generalised linear models (GLM) and inferences for GLMs, one sample and two sample test of hypotheses on the mean vector; comparison of several mean vectors- multivariate analysis of variance (MANOVA), discriminant analysis. |
| Field of Education: | 010103 Statistics |
| Result Type: | Grade/Mark |
Availability
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