R过程及结果:
> a <- c(22,212,57,4,5,1,5)
> b <- c(5,54,2,5,5,5,58,8)
> t.test(a,b,var.equal=T,alternative="less")
Two Sample t-test
data: a and b
t = 0.9125, df = 13, p-value = 0.8109
alternative hypothesis: true difference in means is less than 0
95 percent confidence interval:
-Inf 76.35499
sample estimates:
mean of x mean of y
43.71429 17.75000
SAS结果
SAS 系统 2014年04月11日 星期五 下午02时43分08秒 6
The TTEST Procedure
Variable: a (a)
h N Mean Std Dev Std Err Minimum Maximum
0 8 17.7500 23.6869 8.3746 2.0000 58.0000
1 7 43.7143 76.7761 29.0186 1.0000 212.0
Diff (1-2) -25.9643 54.9790 28.4543
h Method Mean 95% CL Mean Std Dev 95% CL Std Dev
0 17.7500 -2.0528 37.5528 23.6869 15.6612 48.2094
1 43.7143 -27.2918 114.7 76.7761 49.4740 169.1
Diff (1-2) Pooled -25.9643 -87.4361 35.5075 54.9790 39.8572 88.5734
Diff (1-2) Satterthwaite -25.9643 -97.3840 45.4554
Method Variances DF t Value Pr > |t|
Pooled Equal 13 -0.91 0.3781
Satterthwaite Unequal 6.9994 -0.86 0.4184
Equality of Variances
Method Num DF Den DF F Value Pr > F
Folded F 6 7 10.51 0.0066
SPSS结果
独立样本检验
方差方程的 Levene 检验 均值方程的 t 检验
差分的 95% 置信区间
F Sig. t df Sig.(双侧) 均值差值 标准误差值 下限 上限
a 假设方差相等 2.970 .109 .912 13 .378 25.964 28.454 -35.508 87.436
假设方差不相等 .860 6.999 .418 25.964 30.203 -45.455 97.384
SAS和SPSS结果一直,两者与R结果不一致,请较专家,谢谢!


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