Statistical Practice 1

STA60001 12.5 Credit Points Online, Hawthorn (Multi modal)

Duration

  • One Semester or equivelent

Contact hours

  • 36 Hours

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


Corequisites


Nil

Aims and objectives

This unit develops students’ understanding of a range of statistical methods along with their assumptions and limitations of their application. It enables students to develop the capacity to carry out independent statistical analysis of data using a standard statistical software package and also aims to develop students’ abilities in effectively communicating the outcomes of statistical investigations. In addition, it will provide a foundation and motivation for exposure to statistical ideas subsequent to the Graduate Certificate (GC) course.

Students who successfully complete this unit will be able to:
1. Effectively display information in datasets graphically.
2. Select an appropriate descriptive or inferential statistical technique based on the researcher’s hypothesis, the level of measurement of the variables and testing of the appropriate assumptions to analyse the data.
3. Select appropriate IBM SPSS Statistics procedures, Java applets on the web and mathematical calculations, to obtain basic statistical test results, including confidence intervals and effect size statistics.
4. Explain the foundations of statistical inference, in particular the role of sampling distributions and the use of the normal distribution as a density curve.
5. Recognize when more advanced techniques are needed.
6. Write interpretive summary reports for both descriptive and inferential statistical analysis.