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Unit of study_
ENVX1002: Introduction to Statistical Methods
This is an introductory data science unit for students in the agricultural, life and environmental sciences. It provides the foundation for statistics and data science skills that are needed for a career in science and for further study in applied statistics and data science. The unit focuses on developing critical and statistical thinking skills for all students. It has 4 modules: exploring data, modelling data, sampling data and making decisions with data. Students will use problems and data from the physical, health, life and social sciences to develop adaptive problem-solving skills in a team setting. Taught interactively with embedded technology, ENVX1002 develops critical thinking and skills to problem-solve with data.
| Code | ENVX1002 |
|---|---|
| Academic unit | Life and Environmental Sciences Academic Operations |
| Credit points | 6 |
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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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ENVX1001 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or DATA1001 or DATA1901 or BUSS1020 or STAT1021 or ECMT1010 |
At the completion of this unit, you should be able to:
- LO1. Describe the role of statistics, experimentation and hypothesis testing in relation to scientific research.
- LO2. Understand the concept of probability and calculate probabilities by applying probability laws and theoretical results
- LO3. Perform data exploration using R.
- LO4. Understand the concept of experimental inference and select the correct statistical test (among 1-sample, 2-sample, chi-square, and non-parametric tests) appropriate for a particular experiment.
- LO5. Demonstrate proficiency in the use R and Excel to describe and analyse data from simple experiments.
- LO6. Model relationships between variables using linear and non-linear functions using R and Excel.
- LO7. Write and present statistical and modelling results as part of a scientific report and oral presentation as a individual and as a team.
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