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## CMPTR PROCESSG DATA

by: Giovani Ullrich PhD

6

0

5

# CMPTR PROCESSG DATA STAT 479

Giovani Ullrich PhD
ISU
GPA 3.5

Staff

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COURSE
PROF.
Staff
TYPE
Class Notes
PAGES
5
WORDS
KARMA
25 ?

## Popular in Statistics

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 6 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 F5 SAS Program data auto input driver 1 do car1 to 5 input mpg output end data1ines 1 253 289 248 284 271 1 252 300 251 279 266 2 336 367 317 356 337 2 329 365 319 350 339 3 277 307 269 297 292 3 285 304 263 302 289 4 292 324 277 318 303 4 293 324 289 307 299 run proc glm dataauto class driver car model mpg driver car drivercar random driver car drivercartest title 39Study of Variation in Gasoline Consumption39 run SAS Output Study of Variation in Gasoline Consumption The GLM Procedure Class Level Information Class Levels Values driver 4 1 2 3 4 car 5 1 2 3 4 5 40 Number of Observations Read 40 Number of Observations Used Study of Variation in Gasoline Consumption Dependent Variable mpg Source Model Error Corrected Total RSquare 0990773 Source driver car drivercar Source driver car drivercar The GLM Procedure Sum of BF Squares Mean Square F Value 19 3774447500 198655132 11303 20 35150000 01757500 39 3809597500 Coeff Var Root MSE mpg Mean 1395209 0419225 3004750 DF Type I SS Mean Square F Value 3 2802847500 934282500 53160 4 947135000 236783750 13473 12 24465000 02038750 116 DF Type III SS Mean Square F Value 3 2802847500 934282500 53160 4 947135000 236783750 13473 12 24465000 02038750 116 Pr gt F ltOOO1 Pr gt F ltOOO1 ltOOO1 03715 Pr gt F ltOOO1 ltOOO1 03715 Study of Variation in Gasoline Consumption Source driver car drivercar Study of Variation in Gasoline Consumption The GLM Procedure The GLM Procedure Type III Expected Mean Square VarError 2 Vardrivercar VarError 2 Vardrivercar 8 Varca Tests of Hypotheses for Random Model Analysis of Variance Dependent Variable mpg Source DF driver 3 car 4 Error 12 Error MSdrivercar Source DF drivercar 12 Error MSError 20 Type III SS 284750 713500 446500 III SS 446500 515000 Mean 0 COCO O Mean O O Square 428250 678375 203875 Square 203875 175750 F Value 45826 11614 E Value 1 16 VarError 2 Vardrivercar 10 Vardrive Pr gt F ltOOO1 ltOOO1 Pr gt F 03715 SAS Data step for calculating a 95 confidence interval for 021 data cint alpha05 n2 a4 b5 msa 93428250 msab0203875 sa293224375 nunbsa22msa2a 1 msab2a 1b 1 L nusa2cinv1 alpha2nu U nusa2cinvalpha2nu put nu L U run The output of this code as it appears on the SAS Log page 26 data cint 27 alpha05 n2 a4 b5 28 msa 93428250 msab0203875 sa293224375 29 nunbsa22msa2a1 msab2a1b1 30 L nusa2cinv1alpha2nu 31 U nusa2cinvalpha2nu 32 put nu L U 33 run nu2986864459 L29864019163 U13079113868 NOTE The data set WORKCINT has 1 observations and 10 variables NOTE DATA statement used Total process time

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