In a data-rich world, global citizens need to problem solve with data, and evidence based decision-making is essential is every field of research and work. This unit equips you with foundational statistical thinking to interrogate data. Focusing on statistical literacy, the unit covers foundational statistical concepts such as visualising data, the linear regression model, and testing significance using the t and chi-square tests. Based on a flipped learning approach, you will experience most of your learning in weekly collaborative 2 hour labs, supplemented by readings and lectures. Working in teams, you will explore three real data stories across different domains, with associated literature. The combination of MATH1005 and MATH1115 is equivalent to DATA1001, allowing you to pathway to the Data Science, Statistics, or Quantitative Life Sciences majors.
Unit details and rules
Academic unit | Mathematics and Statistics Academic Operations |
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Credit points | 3 |
Prerequisites
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MATH1005 or MATH1015 |
Corequisites
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None |
Prohibitions
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STAT1021 or ENVX1001 or ENVX1002 or BUSS1020 or ECMT1010 or DATA1001 or DATA1901 |
Assumed knowledge
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None |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Diana Warren, diana.warren@sydney.edu.au |
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Tutor(s) | Martin Huang, martin.huang@sydney.edu.au |
Raed Raffoul, raed.raffoul@sydney.edu.au |