Probability and Statistics I
Statistical Science 2857A/B
Description: 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.
Term: A/B
Prerequisite(s): A minimum mark of 60% in both Calculus 1000A/B or Calculus 1100A/B and Calculus 1501A/B, or in both Calculus 1000A/B or Calculus 1100A/B plus a minimum mark of 85% in Calculus 1301A/B.
Antirequisite(s): The former Statistical Sciences 2657A.
Extra Information: 3 lecture hours, 1 tutorial hour, 0.5 course.
Outlines of this course offered in past school years
| Course | Instructor(s) | Outline | Term | School Year |
| SS2857A001 | Hristo Sendov |  |
A | 2016/2017 |
| SS2857A001 | Hristo Sendov | |
A | 2015/2016 |
| SS2857A001 | Hristo Sendov | |
A | 2014/2015 |
| SS2857A001 | Hristo Sendov | |
A | 2013/2014 |
| SS2857A001 | Hristo Sendov | |
A | 2012/2013 |
| SS2857A001 | Duncan Murdoch | |
A | 2011/2012 |