The ability to access, utilise, understand, and communicate stories contained within data is a core competency for all economics graduates in our information-rich society. Statistical methods help not only to formulate appropriate economic policies but also to evaluate their effects. This unit introduces and develops the basic quantitative techniques used to analyse data, including how to visualise and describe data from many different sources; how to model and analyse the relationships within data; and how to make correct inferences from data and detect incorrect inferences. Students will learn how to use computer software for data description and statistical analysis using real-world data.
Unit details and rules
Academic unit | Economics |
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Credit points | 6 |
Prerequisites
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None |
Corequisites
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None |
Prohibitions
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ECMT1011 or ECMT1012 or ECMT1013 or MATH1005 or MATH1015 or MATH1115 or MATH1905 or STAT1021 or ECOF1010 or BUSS1020 or ENVX1001 or ENVX1002 or DATA1001 or DATA1901 |
Assumed knowledge
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Minimum result of Band 4 in HSC Mathematics Advanced (or equivalent); or Band E3 in HSC Mathematics Extension 1 or 2 (or equivalent) |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Andrew Wait, andrew.wait@sydney.edu.au |
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Lecturer(s) | Sol Chung, sol.chung@sydney.edu.au |