Statistical Practice 2

STA60005 12.5 Credit Points Online, Hawthorn (Multi modal)

Duration

  • 1 Semester or equivelent

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.

2022 teaching periods

Hawthorn

HOL Study Period 1 HOL Study Period 3

Dates:
28 Feb 22 - 29 May 22

Results:
28 Jun 22

Last self enrolment:
13 Mar 22

Census:
21 Mar 22

Last withdraw without fail:
15 Apr 22

Dates:
29 Aug 22 - 27 Nov 22

Results:
23 Dec 22

Last self enrolment:
11 Sep 22

Census:
19 Sep 22

Last withdraw without fail:
14 Oct 22


Prerequisites

Con Current Requistes

Statistical Practice 1 (STA60001)
or
Research Project 1 (FBS90001)

or
COS60008 Introduction to Data Science

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.


Students who successfully complete this unit 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