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Statistics for Engineers: CHE 4C3/6C3

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Class materials

Course outline Official course textbook Supplementary readings A self-paced software tutorial for R Course videos and audio from 2010, 2011, 2012, 2013 and 2014 Copyright and other legal stuff Comments, questions, feedback? Don't wait for official course evaluations. Announcements (previous ones) or Follow @stats4eng 16 Jan: all the R source code for any of the figures in the lecture notes and slides is available. Send me an email requesting this code, giving a page/slide number. 16 Jan: the second assignment is posted. As mentioned, the assignments will be frequent at the start, slowing down near the end of term. 21 Jan: there has been a request to cover more practice problems in class; unfortunately there isn't a lot of class time for this course, so I'm relying on you to go through many of the worked examples in the course textbook - there are full solutions to most questions in Chapter 2. 22 Jan: a new version of the PID course textbook has been published; minor spelling/grammar corrections and layout updates only.

Notes for 2014 class Topic Latest slides 0. Course outline and overview PDF 1. Visualizing process data PDF 2. Univariate data analysis PDF 3. Least squares modelling 4. Design and analysis of experiments 5. Process monitoring 6. Latent variable methods and applications 7. Course wrap up Suggested readings Materials for the 2013 class (use this to read ahead if you are in the 2014 class)

Assignments, projects, exams

Course calendar

Assignments: Assignment 1 - 2014, due on 16 January in class Assignment 2 - 2014, due on 23 January in class Assignment 3 - 2014 Assignment 4 - 2014 Assignment 5 - 2014 Assignment 6 - 2014 Assignment 7 - 2014 How to submit an assignment electronically Tests, exams and project Designed experiments project Response surface project Final exam Practice questions for tests and exams Tables Tables of the normal and \(t\)-distribution DOE trade-off table Datasets All course datasets