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Revision as of 16:50, 7 February 2013

Statistics for Engineers: CHE 4C3/6C3

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Class materials

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01 Feb: assignment 3 is posted; due on 08 February.
- 06 Feb: quite a few emails asking if enough information is provided, etc. General rule: if information isn't provided, and you think it should have been, use an assumed value, but clearly justify why you've assumed the value, and why you picked the value you did.
- 06 Feb: regarding question 2 and 3: the problem is sufficiently specified, it is just not obvious what you need to do. That's typical ... an industrial statistics problem doesn't present itself to you in the form: "Calculate a confidence interval ...."; you have figure out what you want to determine (the aim), and then what you need to calculate. It is an important skill to learn how to translate an industrial requirement into a statistical calculation.

05 Feb: solutions to assignment 2 are posted (PDF).
06 Feb: the weekly tests are going well so far, so the midterm for 4C3 is cancelled.
- Expect the grading part of the website to be ready during reading week.
- Expect a slightly longer than normal weekly test at the end of reading week, going into the next week. That test will cover all the course material.

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 19:00, v33)
3. Process monitoring	PDF (06 Feb, 12:00, v41)
4. Least squares modelling	PDF (06 Feb, 20:00, v42)
5. Design and analysis of experiments
6. Latent variable methods and applications
7. Course wrap up

@@ Line 30: / Line 30: @@
 * 01 Feb: [[Assignment 3 - 2013|assignment 3]] is posted; due on 08 February.
 ** 06 Feb: quite a few emails asking if enough information is provided, ''etc''. General rule: if information isn't provided, and you think it should have been, use an assumed value, but clearly justify '''why''' you've assumed the value, and '''why''' you picked the value you did.
-** 06 Feb: regarding question 2 and 3: the problem is sufficiently specified, it is just not obvious what you need to do. That's typical ... an industrial statistics problem doesn't present itself to you in the form: "Calculate a confidence interval ...."; you have figure you want to determine (the aim), and then what you need to calculate. It is an important skill to learn how to translate an industrial requirement into a statistical calculation.
+** 06 Feb: regarding question 2 and 3: the problem is sufficiently specified, it is just not obvious what you need to do. That's typical ... an industrial statistics problem doesn't present itself to you in the form: "Calculate a confidence interval ...."; you have figure out what you want to determine (the aim), and then what you need to calculate. It is an important skill to learn how to translate an industrial requirement into a statistical calculation.