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Revision as of 21:19, 26 February 2013

Statistics for Engineers: CHE 4C3/6C3

Administrative Class materials

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17 Feb: assignment 4 is posted; due on 27 February.
- Please note that Q4 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; particularly sections 15 and 16.
- 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).

26 Feb: there is a description of the course project posted. Please read through it, and start thinking about some ideas. We will also talk about it in class later this week.

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 (26 Feb, v46)
5. Design and analysis of experiments
6. Latent variable methods and applications
7. Course wrap up

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 | 4. [[Least squares modelling (2013) | Least squares modelling]]
-| align="left" | [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:2013-4C3-Overheads-Least-squares-modelling.pdf]] [[Media:2013-4C3-Overheads-Least-squares-modelling.pdf|PDF]]  (18 Feb, v45)
+| align="left" | [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:2013-4C3-Overheads-Least-squares-modelling.pdf]] [[Media:2013-4C3-Overheads-Least-squares-modelling.pdf|PDF]]  (26 Feb, v46)
 |-
 | 5. [[Design and analysis of experiments (2013) | Design and analysis of experiments]]