Topics include random variables, Venn diagrams, discrete probability distributions, expectation and variance, independence, conditional probability, the central limit theorem, applications to the analysis of algorithms and simulating systems such as queues. A statistical computing package is used but no prior computing experience is assumed. The Practice of Statistics II 39L, 13T Continuation of STA220H , emphasizing major methods of data analysis such as analysis of variance for one factor and multiple factor designs, regression models, categorical and non-parametric methods. STA220H STA250H1 Statistical Concepts 39L, 13T A survey of statistical methodology with emphasis on data analysis and applications. The topics covered include descriptive statistics, basic probability, simulation, data collection and the design of experiments, tests of significance and confidence intervals, power, multiple regression and the analysis of variance, and count data.
Students learn to use a statistical computer package as part of the course.
This courses deals with the mathematical aspects of some of the topics discussed in STA250H . Topics include discrete and continuous probability distributions, conditional probability, expectation, sampling distributions, estimation and testing, the linear model. This course is concerned with the development of the probability model. Topics include probability measures, distribution functions, probability and density functions, random variables, conditional probability, expectation, convergence in distribution, the Weak and Strong Laws of Large Numbers, the Central Limit Theorem, some Normal distribution theory and applications. STA261H1 Probability and Statistics II 39L, 13T A sequel to STA257H giving a formal introduction to current statistical theory and methods.