Science & engineering

Multivariate Statistics

STA310

Overview

Level of study: What does Undergraduate Level 3 mean?

Undergraduate Level 3

EFTSL: What does EFTSL mean?

0.125

Delivery Method: What does delivery method mean?

Fully Online

Availability: What is a Study period?

2012:

Duration:

13 weeks

Government loans available:

FEE-HELP FEE-HELP
HECS-HELP HECS-HELP

Domestic student fee:

$1,039.00 (AUD)

HECS student fee:

$1,006.00 (AUD)

International student fee:

$1,264.00 (AUD)

Full list of unit fees

Description

This unit introduces you to a range of multivariate statistical techniques, such as multiple regression and factor analysis, with a user friendly, non-mathematical approach. The focus is on interpretation of the statistics. It is assumed that you will already be familiar with bivariate regression, the analysis of variance, and with the statistical package SPSS before commencing this unit. As this unit builds heavily on previous statistical skills the pre-requisite will be strictly  enforced.

Please note: Assessment values are indicative only; details will be advised at the start of the unit.

Prerequisites

Mandatory prerequisites

You must have successfully completed the following unit(s) before starting this unit:

  • STA102 — Foundations of Statistics (Previously STA15)
  • STA210 — Analysis of Variance

If you have completed equivalent study at another university, please contact a Student Advisor for advice.

Special Requirements

  • Broadband access
  • Other special requirement — Access to the SPSS/PASW software

Assessment

  • Assignments — (15%-25%)
  • Invigilated Exam — (55%-65%)
  • Test — (15%-25%)
For more information on invigilated exams see Exams and results

Learning Outcomes

At the completion of this unit students will be able to:

  1. make a clear statement of the objectives of a study
  2. prepare data for analysis using appropriate data screening techniques
  3. analyse the data using appropriate multivariate statistical techniques
  4. interpret the results and write a concise, informative report.

Topics

This unit addresses the following topics.

NumberTopic
1Review of bivariate regression, data screening and data transformation
2Multiple regression
3Factor analysis
4Other multivariate technique (MANOVA or ANCOVA or Log-linear Modelling) [MANOVA for psychology major]

Study Resources

This unit is delivered using the following methods and materials:

Print based materials

  • Welcome Letter

Online materials

  • Printable format materials
This unit does not have a prescribed textbook(s).

Relevant Courses

This unit is a core requirement in the following courses:

This unit is an approved elective in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Unibooks textbook list.