实验七双因素方差分析
实验目的:
掌握单因素方差分析的基本理论、统计意义与方法、掌握利用SAS进行模型的建立与显著性检验.
实验要求:编写程序,结果分析.
实验内容: (选作)
data examp4;
input catalyzer $ yield@@;
cards;
a1
a1
a1
a1
a1
a1
a2
a2
a2
a2
a2
a2
a3
a3
a3
a3
a3
a3
a4
a4
a4
a4
a4
a4
;
run;
proc anova data=examp4;
class catalyzer;
model yield=catalyzer;
run;
The SAS System 18:18 Sunday, December 5, 2012 1
The ANOVA Procedure
Class Level Information
Class Levels Values
catalyzer 4 a1 a2 a3 a4
Number of observations 24
The SAS System 18:18 Sunday, December 5, 2012 2
The ANOVA Procedure
Dependent Variable: yield
Sum of
Source DF Squares Mean Square F Value Pr > F
Model 3 583 861
Error 20 000 250
Corrected Total 23 583
R-Square Coeff Var Root MSE yield Mean
8 6 3 3
Source DF Anova SS Mean Square F Value Pr > F
catalyzer 3 583 861
proc anova data=examp4;
class catalyzer;
model yield=catalyzer;
means lab;
means lab/t clm alpha=;
means lab/t cldiff alpha=;
run;
The SAS System 18:18 Sunday, December 5, 2012 3
The ANOVA Procedure
Class Level Informat
实验报告单因素方差分析 来自淘豆网m.daumloan.com转载请标明出处.