SC2202 - Quantitative Methods in Science

An introduction to experimental and survey design and analysis. Topics include the principles of sampling design; hypothesis generation for experiments; collection of data; manipulations and interpretation of data; statistical methods used in science; and the use of data in scientific reports.

Learning Outcomes

• demonstrate sound knowledge of the basic principles that underpin sample selection, experimental design, data management, statistical theories, exploratory data analysis, and statistical analysis using basic linear modelling;
• effectively integrate and execute statistical theories and processes using R and RStudio;
• create, retrieve, analyse, synthesise, and evaluate outputs produced from R and RStudio, including demonstrating rigorous workflow documentation;
• integrate statistical principles, methods, techniques and tools covered in this subject to plan and execute a statistical analysis.

Subject Assessment

• Written > Examination (centrally administered) - (45%) - Individual
• Written > Test/Quiz 1 - (20%) - Individual
• Written > Problem task - (20%) - Individual
• Oral > Guided discussion - (15%) - Individual.

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.