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Statistics for Scientists & Engineers:

Analysis of Variance

Instructor: Stefan Leigh
Textbooks: Applied Linear Statistical Models (4th ed.)
J. Neter, W. Wasserman and M.H. Kutner
Irwin, 1996
Format: 5 sessions
1 session/week
6 hours/session
Prerequisites: None
Registration Fee: $125.00 (includes textbooks & all other course materials)

This course covers the fundamentals of Analysis of Variance for NIST scientists and engineers. Topics covered include:

  • basic concepts,
  • graphical approaches,
  • analyses for one-way, two-way, and higher-way designs,
  • fixed and random effects crossed, nested, and mixed models,
  • balanced and unbalanced designs, and
  • components of variance.
Concepts are developed with an emphasis on examples and using a nonmatrix approach. The course will also include some self-contained tutorials on background material including the normal, t, and F distributions, estimation, and hypothesis testing. It will also touch briefly on more advanced topics such as Generalized Linear Models, Generalized Additive Models, ANCOVA and MANOVA.

Check the SED Calendar for the current schedule of upcoming courses. If the course is not currently scheduled in the SED Calendar, please contact Stefan Leigh for more information or to register scheduling requests.

Selected Data Sets from Course Notes

Date created: 6/5/2001
Last updated: 6/22/2001
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