asisgnment 2 output

asisgnment 2 output - ASSIGNMENT 2 OUTPUT 1 Proc glm on...

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ASSIGNMENT 2 OUTPUT 1 Proc glm on balanced dataset to compare average deflection angle of different types of chains The GLM Procedure Class Level Information Class Levels Values saw 4 a b c d Number of observations 20 2 Proc glm on balanced dataset to compare average deflection angle of different types of chains The GLM Procedure Dependent Variable: angle Sum of Source DF Squares Mean Square F Value Pr > F Model 3 1570.000000 523.333333 11.63 0.0003 Error 16 720.000000 45.000000 Corrected Total 19 2290.000000 R-Square Coeff Var Root MSE angle Mean 0.685590 16.77051 6.708204 40.00000 Source DF Type I SS Mean Square F Value Pr > F saw 3 1570.000000 523.333333 11.63 0.0003 Source DF Type III SS Mean Square F Value Pr > F saw 3 1570.000000 523.333333 11.63 0.0003
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3 Proc glm on balanced dataset to compare average deflection angle of different types of chains The GLM Procedure t Tests (LSD) for angle NOTE: This test controls the Type I comparisonwise error rate, not the experimentwise error rate. Alpha 0.05 Error Degrees of Freedom 16 Error Mean Square 45 Critical Value of t 2.11991 Least Significant Difference 8.994 Comparisons significant at the 0.05 level are indicated by ***. Difference saw Between 95% Confidence Comparison Means Limits c - b 10.000 1.006 18.994 *** c - a 19.000 10.006 27.994 *** c - d 23.000 14.006 31.994 *** b - c -10.000 -18.994 -1.006 *** b - a 9.000 0.006 17.994 *** b - d 13.000 4.006 21.994 *** a - c -19.000 -27.994 -10.006 *** a - b -9.000 -17.994 -0.006 *** a - d 4.000 -4.994 12.994 d - c -23.000 -31.994 -14.006 *** d - b -13.000 -21.994 -4.006 *** d - a -4.000 -12.994 4.994
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This note was uploaded on 04/09/2008 for the course STAT 503 taught by Professor Steiner during the Spring '05 term at New Mexico.

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asisgnment 2 output - ASSIGNMENT 2 OUTPUT 1 Proc glm on...

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