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Unit of study_
MATH1905: Statistical Thinking with Data (Advanced)
2024 unit information
This unit is designed to provide a thorough preparation for further study in mathematics and statistics. It is a core unit of study providing three of the twelve credit points required by the Faculty of Science as well as a foundations requirement in the Faculty of Engineering. This Advanced level unit of study parallels the normal unit MATH1005 but goes more deeply into the subject matter and requires more mathematical sophistication.
Unit details and rules
Managing faculty or University school:
Science
| Study level | Undergraduate |
|---|---|
| Academic unit | Mathematics and Statistics Academic Operations |
| Credit points | 3 |
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Prerequisites:
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None |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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MATH1005 or MATH1015 or STAT1021 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901 |
| Assumed knowledge:
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HSC Mathematics Extension 2 or 90 or above in HSC Mathematics Extension 1 or equivalent |
At the completion of this unit, you should be able to:
- LO1. Explain the difference between a randomised controlled experiment and an observational study, in particular the limitations of the latter
- LO2. Produce and interpret various graphical and numerical summaries of univariate and bivariate data
- LO3. Solve problems using principles of probabilities
- LO4. Explain and perform correct computations for some fundamental probability distributions
- LO5. Explain the concept of sampling distribution and central limit theorem.
- LO6. Perform appropriate point estimation and confidence interval
- LO7. Explain the concepts related to hypothesis testing, perform appropriate statistical tests in some simple settings
- LO8. Determine when and how to use least-squares regression and correlation to describe a bivariate relationship
- LO9. Apply the methods learnt to various real-world examples and draw sensible, practical statistical conclusions from them
Unit availability
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Modes of attendance (MoA)
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Important enrolment information
Departmental permission requirements
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