Statistical Practice 2

STA60005 12.5 Credit Points Online

Duration

  • One Semester or equivalent

Contact hours

  • On campus: 24 hours Face to face, 12 hours online Hawthorn Online and OUA: Fully online

On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.

2023 teaching periods

Hawthorn

HOL Study Period 1
Hawthorn

HOL Study Period 3

Dates:
27 Feb 23 - 28 May 23

Results:
27 Jun 23

Last self enrolment:
12 Mar 23

Census:
20 Mar 23

Last withdraw without fail:
14 Apr 23

Dates:
28 Aug 23 - 26 Nov 23

Results:
22 Dec 23

Last self enrolment:
10 Sep 23

Census:
18 Sep 23

Last withdraw without fail:
13 Oct 23


Prerequisites

Concurrent Pre-requisite
 
COS60008 Introduction to Data Science
OR
STA60001 Statistical Practice 1 

Aims and objectives

This unit of study extends the ideas developed in previous units to include more advanced analyses, broaden the range of applications students are familiar with so that they will be able to carry out independent statistical investigations, and develop an awareness of the assumptions and limitations involved in the generalisation of results of such investigations.

Unit Learning Outcomes
 
On successful completion of this unit students will be able to:

1. Choose the appropriate statistical analysis based on the research hypothesis, the level of measurement of the variables and the testing of the appropriate assumptions.
2. Select appropriate statistical procedures, for example, using SPSS, Java applets on the web and mathematical calculations, to analyse data in a variety of contexts.
3. Explain the relationship between the concepts of effect size, sample size, one or two tailed tests, level of significance and power of a statistical test
4. Write interpretive summary reports for inferential statistical techniques
5. Identify when more advanced techniques are needed by comparing properties of statistical techniques to the nature of the research question.

Courses with unit

GC-APPS/GC-APPS (OUA) Graduate Certificate of Applied Statistics
GD-APPS/GD-APPS (OUA) Graduate Diploma of Applied Statistics
MA-APPS/MA-APPS (OUA) Master of Applied Statistics
GC-DATASC Graduate Certificate of Data Science
MA-DATASC Master of Data Science