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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 25 Mar: as mentioned, the Design of Experiments projects will be peer graded, in addition to my own grading. Click on the link to see the grading rubric. Grading will be done anonymously. 60% will be the weight from my grade 3x9=277% will be the average of the 3 graders in the class, your peers 4% will be the weight from grading yourself 3x3=9% will be on the suitability of your grading 3 of your peers (i.e. you should not be providing useless/no feedback)

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 PDF 4. Design and analysis of experiments PDF 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, with full solutions Assignment 2 - 2014, with full solutions Assignment 3 - 2014, with full solutions Assignment 4 - 2014 Assignment 5 - 2014, with full solutions Assignment 6 - 2014 Assignment 7 - 2014 How to submit an assignment electronically Tests, exams and project Midterm test 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