Course overview
The course aims to equip students with fundamental statistical concepts and techniques, and develop students' abilities to solve real-life problems using statistical approaches. Statistical problem solving, scientific research methods, planning and designing a statistical study, experimental design, identification of key variables, sampling, measurement, variation, the Normal distribution, sampling distribution, Central Limit Theorem, confidence intervals, one and two sample hypothesis testing, ANOVA, non-parametric statistical testing, regression modelling and forecasting, the use of MINITAB and EXCEL computing software.
Course learning outcomes
- Demonstrate knowledge of, and properties of, statistical methods.
- Apply statistical methods for scientific problem-solving of applications.
- Analyse a variety of datasets underpinning applications by using statistical methods, including fitting linear regression models using the statistical computer package, MINITAB.
- Demonstrate a suitable grounding in statistics for those who are continuing in other fields and who may need to use statistics in later experimental studies.
- Interpret and effectively communicate the results of statistical analyses.
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.