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School Tool » »
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Name of course :
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Introduction to Experimental Design
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Description :
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Experimental design as a method for organizing analysis procedures. Completely randomized, randomized block, factorial, nested, latin squares, split-plot and incomplete block designs. Response surface and covariance adjustment procedures. Stresses use of computer.
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Prerequisites :
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ST 302
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Corequisites :
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Comments :
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Average user rating :
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3.5
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Average GPA of classes in course :
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3.4
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Std. dev. of classes in course :
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0.13
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Percentile within all courses :
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67%
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Percentile within department courses :
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50%
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Spring 2010
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Spring 2006
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Spring 2005
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Spring 2004
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Spring 2003
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Spring 2002
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Spring 2001
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Spring 2000
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User Ratings
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Perlith All American 7605 Posts user info |
| course : | ST 431 |
| course rating : | 4 - Awesome |
| course comments : | Remember the phrase "correlation does not imply casuation" ... experiment design does. Most of the class is based on ANOVA and variants of the standard linear regression formula. |
| class : | Spring 2005 section 002 |
| grade received : | N/A |
| class rating : | 3 - Good |
| class comments : | Book will be a nice reference item, though was extremely bad for learning material. Lectures were well worth attending; at least half of the classes were hand-ons/small groupwork.
No homework. 5 quizzes, 2 tests, 2 written assignments, 1 small group project. |
| instructor : | Woodard |
| instructor rating : | 4 - Awesome |
| instructor comments : | I hope he stays around NC State. Most of the examples he used were extremely relevant to the lecture at hand. He is also one of those more personable instructors, joking with students, but still remaining professional in teaching. |
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Shivan Bird Football time 11085 Posts user info |
| course : | ST 431 |
| course rating : | 3 - Good |
| course comments : | Experimental design. (ANOVA, f-tests, block designs, factorial designs, line of best fit) |
| class : | Spring 2005 section 002 |
| grade received : | B |
| class rating : | 3 - Good |
| class comments : | You should print out the note outlines and go to class often for this course. His powerpoints in class go right by those notes (with you filling in the blanks). There is little work outside of class, but he frequently gives participation assignments (like a group worksheet) in class, so it's worth your time to go. Book isn't necessary if you have another that explains AVOVA, etc. and you keep up with class. You'll need to know SAS for this, or at least proc GLM and the basics. |
| instructor : | Woodard |
| instructor rating : | 4 - Awesome |
| instructor comments : | Cool guy. Explains the material very well. |
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