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Unit aim
Introduces students to statistical concepts and techniques relevant to their degree. Statistical tools to model and analyse real-world situations and data are developed, enabling students to enhance their decision-making skills. The interpretation and communication of the results obtained is emphasised. Throughout the unit, Excel will be used for statistical calculations.
Unit content
Topic 1: Descriptive statistics
Topic 2: Numerical descriptive measures
Topic 3: Probability
Topic 4: Normal probability and sampling distributions
Topic 5: Estimation and confidence intervals – single mean and proportion
Topic 6: Introduction to hypothesis testing – single mean and proportion
Topic 7: Hypothesis testing – two sample tests
Topic 8: Simple linear regression
Topic 9: Introduction to multiple regression
Learning outcomes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
Learning outcomes and graduate attributes
GA1: Intellectual rigour,
GA2: Creativity,
GA3: Ethical practice,
GA4: Knowledge of a discipline,
GA5: Lifelong learning,
GA6: Communication and social skills,
GA7: Cultural competence| On completion of this unit, students should be able to: | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 |
|---|
| 1 | demonstrate a knowledge and understanding of the concepts of probability, statistical inference, and regression and correlation | | | | | Lifelong learning | | |
| 2 | make appropriate decisions based on the task requirements, by selecting and applying appropriate statistical procedures and interpreting the results obtained | Intellectual rigour | | | | | | |
| 3 | communicate statistical ideas, processes and results effectively at different levels of formality | | | | | | Communication and social skills | |
| 4 | use an appropriate spreadsheet or statistical software in statistical analysis | | | | | Lifelong learning | | |
| 5 | interpret statistical output. | | | | | Lifelong learning | | |
On completion of this unit, students should be able to:
- demonstrate a knowledge and understanding of the concepts of probability, statistical inference, and regression and correlation
- make appropriate decisions based on the task requirements, by selecting and applying appropriate statistical procedures and interpreting the results obtained
- communicate statistical ideas, processes and results effectively at different levels of formality
- GA6:
Communication and social skills
- use an appropriate spreadsheet or statistical software in statistical analysis
- interpret statistical output.
Prescribed texts
Session 1
- This is the ISBN for the Value Pack Basic Business Statistics + PHStat Access kit for Statistics: Berenson, ML, Levine, DM, Szabat, KA, O’Brien, M, Jayne, N & Watson, J, 2018, Basic Business Statistics, 5th edn, Pearson Australia. ISBN: 9781488687921.
Session 3
- This is the ISBN for the Value Pack Basic Business Statistics + PHStat Access kit for Statistics: Berenson, ML, Levine, DM, Szabat, KA, O’Brien, M, Jayne, N & Watson, J, 2018, Basic Business Statistics, 5th edn, Pearson Australia. ISBN: 9781488687921.
Prescribed texts may change in future study periods.