CMPTR PROCESSG DATA
CMPTR PROCESSG DATA STAT 479
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This 5 page Class Notes was uploaded by Giovani Ullrich PhD on Saturday September 26, 2015. The Class Notes belongs to STAT 479 at Iowa State University taught by Staff in Fall. Since its upload, it has received 15 views. For similar materials see /class/214405/stat-479-iowa-state-university in Statistics at Iowa State University.
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Date Created: 09/26/15
Example F1 SAS Program data hogs input litter gain datalines l 118 ll 36 65 37 40 O7 90 gtJgtBUJUJNNH o H H H H H H run proc glm datanogs class litter model gain litter random littertest title 39Average Daily Gain in Swine39 run SAS Output Average Daily Gain in Swine The GLM Pr ocedur e Class Level Information Class Levels Values litter 4 1 2 3 4 Number of Observations Head Number of Observations Used Dependent Variable gain Source Model Error Corrected Total RSquare 0846986 Source litter Source litter Average Daily Gain in Swine The GLM Procedure Sum of BF Squares Mean Square F Value Pr gt F 3 032880000 010960000 738 00416 4 005940000 001485000 7 038820000 Coeff Var Root MSE gain Mean 9710006 0121861 1255000 DF Type I SS Mean Square F Value Pr gt F 3 032880000 010960000 738 00416 DF Type III SS Mean Square F Value Pr gt F 3 032880000 010960000 738 00416 Average Daily Gain in Swine 3 The GLM Procedure Source Type III Expected Mean Square litter VarError 2 Varlitter Average Daily Gain in Swine 4 The GLM Procedure Tests of Hypotheses for Random Model Analysis of Variance Dependent Variable gain Source DF Type III SS Mean Square F Value Pr gt F litter 3 0328800 0109600 788 00416 Error MSError 4 0059400 0014850 SAS Data step for calculating a 95 confidence interval for 021 data cint alpha05 n2 a4 msa 01096 32001485 sa20474 nunsa22msa2a l sZ2an l L nusa2cinvl alpha2nu U nusa2cinvalpha2nu put nu L U run The output of this code as it appears on the SAS Log page 21 data cint 22 alpha05 n2 a4 23 msa 01096 s2001485 sa20474 24 nunsa22msa2a1 s22an1 25 L nusa2cinv1alpha2nu 26 U nusa2cinvalpha2nu 27 put nu L U 28 run nu22140016546 L00134189367 U13808915604 NOTE The data set WORKCINT has 1 observations and 9 variables NOTE DATA statement used Total process time real time 003 seconds cpu time 001 seconds
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