This unit introduces the principles of random experiments and practical quantitative tools for analysing the data from such experiments. The emphasis is on choosing and applying appropriate methods, rather than on technical details and formal inference. Topics include controlled experiments versus observational studies; different experimental designs—confounding, misinterpretation; biases—blinding and randomisation; and analysis—linear regression, linear models and analysis of variance. -- Course Website
Instructor: Assistant Professor Edward Cripps
Prerequisites: STAT1400 Statistics for Science or STAT1520 Economics and Business Statistics
