Probability, Statistics and Data Analysis II
An introduction to statistical inference and practice. Statistical models and parameters, estimators of parameters and their statistical properties, methods of estimation, confidence intervals, hypothesis testing, likelihood function, the linear model. Use of statistical computation for data analysis and simulation.
Prerequisites & course information
Prerequisite: STA237H1 / STA247H1 / STA257H1 / STAB52H3 / STA256H5; Prerequisite:; Corequisite: CSC108H1 / CSC110Y1 / CSC148H1 *Note: the corequisite may be completed either concurrently or in advance.; Corequisite:; Exclusion: ECO220Y1 / ECO227Y1 / GGR270H1 / PSY201H1 / SOC300H1 / SOC202H1 / SOC252H1 / STA220H1 / STA221H1 / STA255H1 / STA248H1 / STA261H1 / STA288H1 / EEB225H1 / STAB22H3 / STAB27H3 / STAB57H3 / STA220H5 / STA221H5 / STA258H5 / STA260H5 / ECO220Y5 / ECO227Y5; Exclusion:
Sources
- Course catalogue ↗2026-2027