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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 14 Mar: the grading rubric (schedule) for the course project. 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. 27 Mar: the final response surface competition will count the equivalent of 3 Quests; so there will be 10 + "3" = 13 Quests in total, counting 22% of your overall course grade. More details coming in the next class. Also, the grades for assignment 1 through 6 are on Avenue. Please confirm your grade is correctly recorded. 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). Dr. Cranston's 3Q03 class is currently an outlier, easily beating 4C03 with the highest number of evaluations returned. Please, you have got to help me stop her.

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 (27 Mar, v66) 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