Course overview
The aim of this course is to equip students with the ability to analyse and interpret data using appropriate statistical tools and techniques. The course encompasses a range of topics in quantitative skills, which include graphical descriptive techniques, numerical descriptive techniques, data collection and sampling, hypothesis testing, the Chi-squared test, simple linear regression, and correlation.
Course learning outcomes
- Illustrate fundamental statistical concepts, including sample, population, statistics, parameter, confidence level, significance level, data, variable, and data collection and sampling
- Apply descriptive statistics, which involves calculating measures such as mean, mode, median, variance, range, and standard deviation, as well as constructing graphical representations using data
- Apply inferential statistics, which involves analysing and interpreting data using appropriate statistical techniques, testing hypotheses for population parameters, examining relationships between variables, and making inferences
- Use statistical software packages for analysing and interpreting data
- Develop critical thinking and decision-making skills to evaluate the reliability and validity of statistical conclusions and describe the limitations 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.