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Using SAS Choose Design ANOVA Compare Means Regression Examples
Introduction to DAWG presentation    First visit?     Choose Design     Using SAS    ANOVA Diagnostics   Report Errors
Paperheads, by Mike Reed Choose the right experimental design
Choose the right SAS analysis
   The Stats Design and Analysis Web Guide (DAWG), produced by    the University of Tennessee, is under construction 2004-2008.     SAS is a trademark of SAS Institute, Inc, Cary, NC and is used to refer to their     software. No endorsement is implied.

Its purpose:            First guides completed: CRD Single Factor  RCBD Single Factor
Choose Design
Using SAS
First Visit?


    to give an introduction to using SAS for statistical analysis
    to guide students and researchers in identifying the proper
       experimental and treatment designs for their study
    to provide SAS macros (easily used collections of program statements) that conduct
       the analyses covered by DAWG, customized for your experimental data
    to guide users in stepwise fashion through each step of the SAS
       analysis and interpretation of output

DAWG assumes some understanding of statistics and prior exposure to experimental design.

Our goal is to develop individual guides (modules) for the experimental designs most used in agricultural and biological research, with a key to assist in selecting proper design:
  Completely randomized design (CRD)
  Randomized complete block design
(RCBD)
  Latin square design
(LSD)
  Multiple square latin square design
(MS-LSD)
  Crossover design
  Switchback design
  Incomplete block design
  Regression

Users may "customize" each of the seven ANOVA experimental designs with one of seven treatment designs:
Single Factor
, Nested, Factorial, Split-Plot, Strip-Plot, Split-Split, Repeated Measures.

Modules will also be built to accomodate some specialized features, such as sampling, replication and covariates.

A glossary is provided, as well as explanatory material each step of the way.

To send us comments or report errors

The project is supported by the Tennessee Agricultural Experiment Station, the College of Agricultural Sciences and Natural Resources, the Department of Animal Science, the Department of Plant Sciences, and the Innovative Technology Center at the University of Tennessee.

Choose Design     Using SAS     First visit?     Give us feedback
Modules built to date:  CRD with Single Factor   ANOVA Diagnostics
DAWG authors:  Arnold Saxton  Bob Augé
                                                                                                               Paperheads illustration above by Mike Reed

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