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Revision as of 20:20, 20 February 2013

Statistics for Engineers: CHE 4C3/6C3

Administrative Class materials

Announcements (previous ones) or Follow @stats4eng

15 Feb: an important class on least squares was held today. Please review the video if you missed it. We will resume from slide 44 onwards, after the midterm break. Enjoy the time off.

17 Feb: assignment 4 is posted; due on 27 February.
- Please note that Q3 was updated, there are now 5 parts to the question.
- Also take a look at the software tutorial for sample R code that will help you with this assignment.
- Do not use R libraries, like qcc to do the work for you on building monitoring charts. The purpose of the assignment is to show that you can do the necessary calculations (you'll need to show that anyway in the final exam).

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 (18 Feb, v45)
5. Design and analysis of experiments
6. Latent variable methods and applications
7. Course wrap up

@@ Line 35: / Line 35: @@
 ** Please note that Q3 was updated, there are now 5 parts to the question.
 ** Also take a look at the [[Software_tutorial | software tutorial]] for sample R code that will help you with this assignment.
+** Do not use R libraries, like <tt>qcc</tt> to do the work for you on building monitoring charts. The purpose of the assignment is to show that you can do the necessary calculations (you'll need to show that anyway in the final exam).