Statistical Practice 2
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 3 |
||
|---|---|---|
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Prerequisites
Aims and objectives
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
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Type | Hours per week | Number of Weeks | Total |
Face to Face Contact Lecture | 2 | 12 | 24 |
Online Contact Collaboration | 1 | 12 | 12 |
Specified Learning Activities Discussion boards, Watching Lecture recording, Readings, Quizzes & assessments | 2 | 12 | 24 |
Unspecified Learning Activities Independent study, Assignment preparation, Revision | 7.5 | 12 | 90 |
TOTAL | 150 hours/12.5cps |
Type | Hours per week | Number of Weeks | Total |
Online Contact Collaboration | 1 | 12 | 12 |
Online Specified Learning Activities Discussion boards, Watching Lecture recording, Readings, Quizzes & assessments | 11.5 | 12 | 138 |
TOTAL | 150 hours/12.5cps |
Assessment
| Types | Individual or Group task | Weighting | Assesses attainment of these ULOs |
| Examination | Individual | 50% | 1, 3, 4, 5 |
| Online quizzes (10) | Individual | 10% | 1, 3, 5 |
| Written assignments | Individual | 40% | 2, 4 |
Content
- Statistical Power
- Identifying and reducing bias.
- Non parametric tests: Wilcoxon Signed Rank test, Friedman test, Wilcoxon Rank Sum test, Kruskal-Wallis Test,
- Bivariate and Multiple Regression including: inferential, assumption testing and transformations to achieve linearity
- Spearman’s and Kendal’s tau-b correlation
- Single factor independent groups design analysis of variance
- Completely randomised, factorial analysis of variance.
- Single factor repeated measures analysis of variance
- Mixed design analysis of variance.
- Chi-Square, Fisher’s Exact test, Cramer’s V, Odds Ratio, Lambda
- Chi Square goodness of fit test.
Study resources
- Reading materials.
Reading materials
Students are advised to check the unit outline in the relevant teaching period for appropriate textbooks and further reading.