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Revision as of 21:24, 17 January 2013

Statistics for Engineers: CHE 4C3/6C3

Administrative Class materials

Announcements (previous ones) or Follow @stats4eng

New: If you want to receive these announcements on your cell, but don't have a Twitter account, text: follow stats4eng to this number 21212 and you'll get a text message instead of a tweet. Thanks to one of your classmates for pointing this out.

A tutorial for the course software is now available. It shows how to download and install the software and steps to get started. You'll need this for assignment 1.

A copy of the tables for the normal and \(t\)-distribution can be downloaded and printed. Bring to the next 2 or 3 classes.

17 Jan: 6C3 students: please email me with your full name and student number. I do not get your registration information from the university. It is your responsibility to get this information to me, so that I can set you up for the weekly tests.

17 Jan: Please follow these instructions to submit an assignment electronically. Whether you choose paper (in class) or electronic, assignments are due at 12:30 pm on Friday.

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Notes for 2013 class

Topic	Latest slides (last update)
0. Course outline and overview	PDF
1. Visualizing process data	PDF
2. Univariate data analysis	PDF (11 Jan, 18:30)
3. Process monitoring
4. Least squares modelling
5. Design and analysis of experiments
6. Latent variable methods and applications
7. Course wrap up

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-* '''6C3 students''': please email me with your full name and student number. I do not get your registration information from the university. It is your responsibility to get this information to me, so that I can set you up for the weekly tests.
+* 17 Jan: '''6C3 students''': please email me with your full name and student number. I do not get your registration information from the university. It is your responsibility to get this information to me, so that I can set you up for the weekly tests.
+* 17 Jan: Please follow these instructions to [[Electronic_submissions_-_2013|submit an assignment electronically]]. Whether you choose paper (in class) or electronic, assignments are due at 12:30 pm on Friday.
 * A good overview of understanding plotting in R: