sheep1 - The SAS System Obs 1 2 3 4 5 6 7 8 9 10 11 12 13...

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The SAS System 1 Obs no2 sheep time y 1 1 1 time1 2.197 2 1 1 time2 2.442 3 1 1 time3 2.542 4 1 1 time4 2.241 5 1 1 time5 1.960 6 1 1 time6 1.988 7 1 2 time1 1.932 8 1 2 time2 2.526 9 1 2 time3 2.526 10 1 2 time4 2.152 11 1 2 time5 1.917 12 1 2 time6 1.917 13 1 3 time1 1.946 14 1 3 time2 2.251 15 1 3 time3 2.501 16 1 3 time4 1.988 17 1 3 time5 1.686 18 1 3 time6 1.841 19 1 4 time1 1.758 20 1 4 time2 2.054 21 1 4 time3 2.588 22 1 4 time4 2.197 23 1 4 time5 2.140 24 1 4 time6 1.686 25 2 5 time1 2.230 26 2 5 time2 3.086 27 2 5 time3 3.357 28 2 5 time4 3.219 29 2 5 time5 2.827 30 2 5 time6 2.534 RM-ANOVA analysis of sheep data assuming circularity 2 The Mixed Procedure Model Information Data Set WORK.SHEEP Dependent Variable y Covariance Structure Variance Components Estimation Method Type 3 Residual Variance Method Factor Fixed Effects SE Method Model-Based Degrees of Freedom Method Satterthwaite Class Level Information Class Levels Values no2 3 1 2 3 sheep 12 1 2 3 4 5 6 7 8 9 10 11 12
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time 6 time1 time2 time3 time4 time5 time6 Dimensions Covariance Parameters 2 Columns in X 28 Columns in Z 12 Subjects 1 Max Obs Per Subject 72 Number of Observations Number of Observations Read 72 Number of Observations Used 72 Number of Observations Not Used 0 Type 3 Analysis of Variance Sum of Source DF Squares Mean Square no2 2 23.519956 11.759978 time 5 8.950930 1.790186 no2*time 10 4.495607 0.449561 sheep(no2) 9 8.588497 0.954277 Residual 45 3.601928 0.080043 RM-ANOVA analysis of sheep data assuming circularity 3 The Mixed Procedure Type 3 Analysis of Variance Error Source Expected Mean Square Error Term DF no2
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This note was uploaded on 11/13/2011 for the course STAT 8630 taught by Professor Staff during the Fall '08 term at University of Georgia Athens.

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sheep1 - The SAS System Obs 1 2 3 4 5 6 7 8 9 10 11 12 13...

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