OneFactorExperiments - CPE 619 One Factor Experiments...

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CPE 619 One Factor Experiments Aleksandar Milenković The LaCASA Laboratory Electrical and Computer Engineering Department The University of Alabama in Huntsville http://www.ece.uah.edu/~milenka http://www.ece.uah.edu/~lacasa
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2 Overview Computation of Effects Estimating Experimental Errors Allocation of Variation ANOVA Table and F-Test Visual Diagnostic Tests Confidence Intervals For Effects Unequal Sample Sizes
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3 One Factor Experiments Used to compare alternatives of a single categorical variable For example, several processors, several caching schemes
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4 Computation of Effects
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5 Computation of Effects (Cont)
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6 Example 20.1: Code Size Comparison Entries in a row are unrelated (Otherwise, need a two factor analysis)
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7 Example 20.1 Code Size (cont’d)
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8 Example 20.1: Interpretation Average processor requires 187.7 bytes of storage The effects of the processors R, V, and Z are -13.3, -24.5, and 37.7, respectively. That is, R requires 13.3 bytes less than an average processor V requires 24.5 bytes less than an average processor, and Z requires 37.7 bytes more than an average processor.
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9 Estimating Experimental Errors Estimated response for j th alternative: Error: Sum of squared errors (SSE):
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10 Example 20.2
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11 Allocation of Variation
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12 Allocation of Variation (cont’d) Total variation of y (SST):
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13 Example 20.3
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This note was uploaded on 12/13/2011 for the course CPE 619 taught by Professor Milenkovic during the Fall '09 term at University of Alabama - Huntsville.

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OneFactorExperiments - CPE 619 One Factor Experiments...

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