Course audio from 2011
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All the 2011 course audio files, when available, can be download from this page.
Date | Material covered (approximate: may differ somewhat) | Audio file |
---|---|---|
03 January 2011 | Course overview and outline | No audio available |
05 January 2011 | Visualizing process data | No audio available |
06 January 2011 | Visualizing process data | No audio available |
10 January 2011 | About variability, histograms and frequency distributions | No audio available |
12 January 2011 | Samples, population, robust methods, central limit theorem, independence | Class 4 |
13 January 2011 | The normal distribution; testing for normality with the q-q plot | Class 5 |
17 January 2011 | The \(t\)-distribution and confidence interval for the mean with given variance | Class 6 |
19 January 2011 | Confidence interval with unknown variance; tests for differences/similarity with a reference set | Class 7 |
20 January 2011 | Tests for differences with without a reference set | Class 8 |
24 January 2011 | Continued with tests with without a reference set; paired tests | Class 9 |
26 January 2011 | Process monitoring | Class 10 |
28 January 2011 | Process monitoring | Class 11 |
31 January 2011 | Process monitoring | Class 12 |
03 February 2011 | Process monitoring | Class 13 |
07 February 2011 | Covariance, correlation, non-parameteric modelling | Class 14 |
09 February 2011 | Notation, calculating model parameters | Class 15 |
10 February 2011 | Analysis of variance, \(R^2\) and \(S_E\) | Class 16 |
16 February 2011 | Assumptions required to derived confidence intervals | Class 17 |
17 February 2011 | Calculating prediction intervals for \(y\), assessing assumptions | Class 18 |
28 February 2011 | Assessing assumptions and modifying data to better meet assumptions | Class 19 |
02 March 2011 | Multiple linear regression | Class 20 |
03 March 2011 | Integer variables; outliers: discrepancy, leverage and influence | Class 21 |
07 March 2011 | Single variable experiments, randomization, changing one single variable at a time (COST) approach | Class 22 |
09 March 2011 | Analysis of a 2 factor experiment: without interactions, and with interactions | Class 23 |
10 March 2011 | Factorial analysis using least squares; 3-factor experiment example (contains an integer variable) | Class 24 |
16 March 2011 | Assess if factors are significant or not; blocking and confounding | Not available |
17 March 2011 | Guest speaker, Emily Nichols, on DOEs | Class 26 |
21 March 2011 | Fractional factorials; generators and defining relationships | Class 27 |
23 March 2011 | Saturated designs; response surface methods | Class 28 |
24 March 2011 | Response surface methods | Class 29 |
28 March 2011 | Dealing with incorrect experiments and constraints; wrapping up DOEs; take-home review. | Class 30 |
30 March 2011 | Latent variable methods: an overview of what these methods are, and how they are used | Class 31 |
31 March 2011 | Latent variable methods: further applications of latent variable methods | Class 32 |
04 April 2011 | Wrap-up: the 4C3/6C3 from the perspective of process modelling | Class 33 |