These presentations are not of uniform length and are not arranged as lectures of a particular length. The presentations were used to present a short course to researchers in the Departments of Electrical Engineering and Computer Science and Engineering at the University of Notre Dame in the Fall of 2012.

The primary reference for these presentations is the National
Institute of Standards and Technology (NIST)
Engineering Statistics Handbook **(ESH)**. There are links to sections of
the ESH on many of the slides in the presentations (but not in the 4X
printing pdf's). In the Design of Experiments
section, reference is also made to the NIST
Dataplot Tabulated Designs which provides a number of common
experimental design array tables.

The first part of the short course covers basic statistical theory including measures of center and spread, plotting data, and measures of confidence.

- Satistics I:
Introduction (presentation pdf with links) (4X pdf for printing
with no links)

Experiments with standard six sided die are used to introduce randomness and some statistical analysis concepts. - Statistics II: Basic
Statistical Theory (4X)

Statistical Definitions: mean, variance, standard deviation, correlation; distributions with emphesis on the normal distribution, the central limit theorm. - Statistics
III: Graphical Display of Data (4X)

Histogram, Box Plot, Normal Probability Plot, Scatter Plot. Using MatLab for plotting. - Statistics IV:
Confidence Limits and Hypothesis Testing (4X)

Student's t distribution, confidence limits of the mean, equivalence of two means, the f distribution, equivalence of two variances.

- Design of
Experiments I: Overview (4X)

Deming and Taguchi; orthogonal array methods; Design of Experiments (D0E) basics, Full Factorial Designs, Fractional Factorial Designs. - Design of Experiments II:
Case Study: A Chemical Vapor Deposition System (4X)

CVD system overview, Taguchi L9 Array, Experimental Results, Building a Model, results ANOVA (It is best to cover the next presentation before covering the ANOVA section of the CVD case study.) - Design of Experiments III:
Analysis of Variance (ANOVA) (4X)

Analysis of Variance basics; 2 Way ANOVA; 2 Way ANOVA example; Significance Testing using the f distribution. - Design of
Experimens IV: Case Study: A Polisilicon Deposition System
(4X)

The Polysilicon Deposition System problem; the experimental design; results of the experiment, analysis and ANOVA, verification of the process parameter decisions.

J. Nahas Homepage

Last modified: Tue Dec 11 15:23:20 EST 2012