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.

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[Anti-requisite] BS2001 BS5001 BZ5001 BZ2001 SC2209 SC5202

[Anti-requisite] BS2001 BS5001 BZ5001 BZ2001 SC2209 SC5202 Offerings: All

[Pre-requisite] SC1102 OR SC1109 OR ADMISSION TO BACHELOR OF BUSINESS AND ENVIRONMENTAL SCIENCE OR ADMISSION TO 116209, 116309 OR 116409

[Pre-requisite] SC1102 OR SC1109 OR ADMISSION TO BACHELOR OF BUSINESS AND ENVIRONMENTAL SCIENCE OR ADMISSION TO 116209, 116309 OR 116409 Offerings: All

Students enrolling in this subject should have a good understanding of level 1 science, including at least two level 1 subjects.

Students enrolling in this subject should have a good understanding of level 1 science, including at least two level 1 subjects. Offerings: All

SC2202 - Quantitative Methods in Science

Quantitative Methods in Science

Integrate statistical principles, methods, techniques and tools covered in this subject to plan and execute a statistical analysis

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

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