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Location Domestic International
Melbourne N/A
Session1,3
Online
Session1,3
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Papua New Guinea - IBSU Port Moresby N/A
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Perth N/A
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Sydney N/A
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Unit Summary

Unit type

UG Coursework Unit

Credit points

12

Faculty/College

Faculty of Business, Law and Arts

Anti-requisites

MAT00115 Statistics I AND MAT00116 Statistics II

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

  1. Descriptive statistics
  2. Data visualisation
  3. Descriptive numerical measures
  4. Basic probability
  5. Normal distribution
  6. Sampling distributions
  7. Confidence interval estimation
  8. Hypothesis testing – Part I
  9. Hypothesis testing – Part II
  10. Simple linear 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.

On completion of this unit, students should be able to:
1 demonstrate a knowledge and understanding of the concepts of probability, statistical inference, and regression and correlation
2 make appropriate decisions based on the task requirements, by selecting and applying appropriate statistical procedures and interpreting the results obtained
3 communicate statistical ideas, processes and results effectively at different levels of formality
4 use an appropriate spreadsheet or statistical software in statistical analysis
5 interpret statistical output.

On completion of this unit, students should be able to:

  1. demonstrate a knowledge and understanding of the concepts of probability, statistical inference, and regression and correlation
  2. make appropriate decisions based on the task requirements, by selecting and applying appropriate statistical procedures and interpreting the results obtained
  3. communicate statistical ideas, processes and results effectively at different levels of formality
  4. use an appropriate spreadsheet or statistical software in statistical analysis
  5. interpret statistical output.

Prescribed texts

  • No prescribed texts.

  • No prescribed texts.
Prescribed texts may change in future teaching periods.