Statistical Sciences 2857A/B – Probability and Statistics I

Probability axioms, conditional probability, Bayes’ theorem. Random variables motivated by real data and examples. Parametric univariate models as data reduction and description strategies. Multivariate distributions, expectation and variance. Likelihood function will be defined and exploited as a means of estimating parameters in certain simple situations. Antirequisite(s): The former Statistical Sciences 2657A. Prerequisite(s): A minimum mark of 60% in 0.5 course from Calculus 1000A/B, 1100A/B or 1500A/B plus 0.5 course from Calculus 1301A/B (minimum mark 85%) or Calculus 1501A/B (minimum mark 60%). Corequisite(s): Pre-or Corequisite(s): Extra Information: 3 lecture hours, 1 tutorial hour, 0.5 course. back to top





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