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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 Course videos and audio from 2010, 2011, 2012 Course videos from 2013 Copyright and other legal stuff Comments, questions, feedback? Don't wait for official course evaluations. Announcements (previous ones) or Follow @stats4eng 26 Mar: About Quest grading. You can sign into Quest any time after a Quest and it will show you a full solution to your questions. This feature has been there since the beginning, but it appears many don't know about it. You can estimate your grade to a high accuracy as follows: You will get full grade if you answer the question correctly. For multiple choice questions, subtract off 0.5 marks for every checkbox that should not be checked. For numeric answers, if your answer agrees with about 1% tolerance, you will get full grade. If you have too many significant figures, you will get deductions of 0.25 marks per box. If there are 4 grades for a question, and there are two numeric values to fill in, then each box has equal weighting, i.e. 2 + 2. Hope that helps clarify it. 01 Apr: course evaluations are running. The comments and feedback you provide are extremely helpful to improve this course (even after teaching it 4 times, there are still improvements to be made). 05 Apr: additional R source code for analyzing response surface models has been posted on the DOE page. 05 Apr: the final response surface competition will be optional. You can earn an additional 5% of the course grade (i.e. bonus marks) this way, to boost your grade. The competition actually doesn't require much time, and it is a great way to study for the DOE section of the final exam. 05 Apr: an interesting tribute to George Box: to understand his contributions to statistics. 08 Apr: the final assignment is now due on 10 April at class if by paper; or by noon on 11 April if electronic submission. Solutions will be posted after that, and no further late submissions will be accepted.

Notes for 2013 class Topic Latest slides (last update, version) 0. Course outline and overview PDF 1. Visualizing process data PDF 2. Univariate data analysis PDF (29 Jan, v33) 3. Process monitoring PDF (06 Feb, v41) 4. Least squares modelling PDF (01 Mar, v52) 5. Design and analysis of experiments PDF (05 Apr, v68) 6. Latent variable methods and applications 7. Course wrap up Suggested readings

Assignments, projects, exams

Course calendar

Assignments: Assignment 1 - 2013 (with solutions) Assignment 2 - 2013 (with solutions) Assignment 3 - 2013 (with solutions) Assignment 4 - 2013 (with solutions) Assignment 5 - 2013 (with solutions) Assignment 6 - 2013 (with solutions) Assignment 7 - 2013 How to submit an assignment electronically Tests, exams and project Designed experiments 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

See all your course calendars here: http://learnche.mcmaster.ca/calendar