[讨论]Two-sample T and ANOVA之间在应用上的区别！
不知道这两种比较方法到底有什么区别？有没有更准确方面的区别？
Data1 Data2
2 8
3 10
9 15
6 2
5 19
4 24
3 10
9 6
15 12
26 8
3 1
48 51
Two-Sample T-Test and CI: Data1, Data2
Two-sample T for Data1 vs Data2
N Mean StDev SE Mean
Data1 12 11.1 13.5 3.9
Data2 12 13.8 13.4 3.9
Difference = mu Data1 - mu Data2
Estimate for difference: -2.75
95% CI for difference: (-14.17, 8.67)
T-Test of difference = 0 (vs not =): T-Value = -0.50 P-Value = 0.622 DF = 21
One-way ANOVA: Data1, Data2
Analysis of Variance
Source DF SS MS F P
Factor 1 45 45 0.25 0.621
Error 22 3981 181
Total 23 4026
Individual 95% CIs For Mean
Based on Pooled StDev
Level N Mean StDev -----+---------+---------+---------+-
Data1 12 11.08 13.49 (------------*-------------)
Data2 12 13.83 13.42 (------------*------------)
-----+---------+---------+---------+-
Pooled StDev = 13.45 6.0 12.0 18.0 24.0
Data1 Data2
2 8
3 10
9 15
6 2
5 19
4 24
3 10
9 6
15 12
26 8
3 1
48 51
Two-Sample T-Test and CI: Data1, Data2
Two-sample T for Data1 vs Data2
N Mean StDev SE Mean
Data1 12 11.1 13.5 3.9
Data2 12 13.8 13.4 3.9
Difference = mu Data1 - mu Data2
Estimate for difference: -2.75
95% CI for difference: (-14.17, 8.67)
T-Test of difference = 0 (vs not =): T-Value = -0.50 P-Value = 0.622 DF = 21
One-way ANOVA: Data1, Data2
Analysis of Variance
Source DF SS MS F P
Factor 1 45 45 0.25 0.621
Error 22 3981 181
Total 23 4026
Individual 95% CIs For Mean
Based on Pooled StDev
Level N Mean StDev -----+---------+---------+---------+-
Data1 12 11.08 13.49 (------------*-------------)
Data2 12 13.83 13.42 (------------*------------)
-----+---------+---------+---------+-
Pooled StDev = 13.45 6.0 12.0 18.0 24.0
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honesty (威望:4) (上海 ) 汽车制造相关 经理 - I love this game I love ...
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我们知道2-SAMPLE T检验是用于同一对象（属性相同的）的两组数据的比较，在三种检验状态（大于、小于和不等）下，进行比较。
方差分析主要用于多个（包括两个）之间的比较，其目的是推断两组或多组资料的总体均数是否相同。
所以，有时候可以达到同样的效果。