3975 (v.4) Applied Statistics 302

Area:

Department of Mathematics and Statistics

Contact Hours:

4.0

Credits:

25.0

Lecture:

3 x 1 Hours Weekly

Practical:

1 x 1 Hours Weekly

Prerequisite(s):

8128 (v.6) Linear Algebra 202 or any previous version
AND
8393 (v.8) Statistical Methods 201 or any previous version
AND
302315 (v.2) Mathematical Statistics 202 or any previous version

The analysis and interpretation of research data arising from more complex designs. Review of matrix algebra-random vectors, mean vectors and covariance matrices. Multivariate normal distribution. Generalised linear models. Maximum likelihood estimation and inferences for GLMs. Introduction to multivariate statistical methods using R and SAS. Methods for categorical data.

Availability

Year	Location	Period	Internal	Area External	Central External
2003	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.

Click here for a printable version of this page

Picture of sun setting over Henderson Court on Curtin's Bentley Campus