Applied Statistics and Data Analysis for Engineers
Statistical Science 2143A/B
Description: A data-driven introduction to statistics intended primarily for students in Chemical and Mechanical Engineering. Exploratory data analysis, probability, the Binomial, Poisson, Normal, Chi-Square and F distributions. Estimation, correlation and regression (model building and parameter estimation), analysis of variance, design of experiments. Cannot be taken for credit in any module in Statistics, Actuarial Science, or Financial Modelling.
Term: A/B
Prerequisite(s): A full mathematics course, or equivalent, numbered 1000 or above. Statistical Sciences 1024A/B can be used to meet 0.5 of the 1.0 mathematics course requirement.
Antirequisite(s): All other courses or half courses in Introductory Statistics except Statistical Sciences 1023A/B, Statistical Sciences 2037A/B and Statistical Sciences 1024A/B.
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 |
| SS2143B001 | Azaz Sharif |  |
B | 2016/2017 |
| SS2143B002 | David Stanford | |
B | 2016/2017 |
| SS2143B001 | Serge Provost | |
B | 2015/2016 |
| SS2143B001 | Zinovi Krougly | |
B | 2014/2015 |
| SS2143B001 | Steve Kopp | |
B | 2013/2014 |
| SS2143B001 | Steve Kopp | |
B | 2012/2013 |
| SS2143B001 | Steve Kopp | |
B | 2011/2012 |