Statistics for Data Analysis
CATS
10
Teaching methods
Lectures, seminars, practical workshops, peer-to-peer learning, tutorials, and laboratory-based research projects.
Assessment
Essays, lab reports, poster and oral presentations, written and oral examinations and podcasts.
Course (ie. Interdisciplinary Biomedical Research Modules)
Statistics for Data Analysis
This module gives students a basic understanding of the statistical methods appropriate to data analysis in analytical science. Topics include: basic probability; error analysis and calibration; summarising data and testing simple hypotheses; statistical computing; experimental design and analysis of variance; sampling methods and quality control; simple analysis of multivariate data.