请教数据怎样分析?
下面是47个产品高温前后测量的一个指标数据,请教各位大虾如何分析温度对指标的影响呢?
产品编号 高温前 高温后
1# 33.77% 32.81%
2# 32.62% 32.69%
3# 33.28% 32.97%
4# 32.81% 33.05%
5# 32.66% 32.62%
6# 32.39% 32.09%
7# 32.27% 32.05%
8# 33.45% 32.81%
9# 32.97% 32.81%
10# 32.43% 32.66%
11# 32.46% 32.85%
12# 32.16% 32.12%
13# 32.77% 32.77%
14# 32.54% 33.01%
15# 32.50% 32.27%
16# 33.37% 33.45%
17# 32.66% 32.31%
18# 33.41% 33.41%
19# 32.93% 33.17%
20# 33.45% 33.98%
21# 33.17% 33.20%
22# 33.09% 33.09%
23# 33.05% 32.97%
24# 33.57% 33.73%
25# 32.77% 33.20%
26# 32.81% 32.93%
27# 33.37% 33.28%
28# 32.69% 32.97%
29# 32.77% 32.93%
30# 33.01% 33.09%
31# 33.32% 33.41%
32# 33.32% 33.49%
33# 33.45% 33.57%
34# 33.09% 33.20%
35# 33.41% 33.90%
36# 33.20% 32.89%
37# 32.05% 32.54%
38# 33.05% 33.05%
39# 33.45% 33.73%
40# 32.16% 32.85%
41# 32.20% 32.39%
42# 32.12% 32.20%
43# 33.45% 33.90%
44# 32.20% 32.39%
45# 33.37% 33.17%
46# 33.24% 32.85%
47# 32.85% 32.66%
产品编号 高温前 高温后
1# 33.77% 32.81%
2# 32.62% 32.69%
3# 33.28% 32.97%
4# 32.81% 33.05%
5# 32.66% 32.62%
6# 32.39% 32.09%
7# 32.27% 32.05%
8# 33.45% 32.81%
9# 32.97% 32.81%
10# 32.43% 32.66%
11# 32.46% 32.85%
12# 32.16% 32.12%
13# 32.77% 32.77%
14# 32.54% 33.01%
15# 32.50% 32.27%
16# 33.37% 33.45%
17# 32.66% 32.31%
18# 33.41% 33.41%
19# 32.93% 33.17%
20# 33.45% 33.98%
21# 33.17% 33.20%
22# 33.09% 33.09%
23# 33.05% 32.97%
24# 33.57% 33.73%
25# 32.77% 33.20%
26# 32.81% 32.93%
27# 33.37% 33.28%
28# 32.69% 32.97%
29# 32.77% 32.93%
30# 33.01% 33.09%
31# 33.32% 33.41%
32# 33.32% 33.49%
33# 33.45% 33.57%
34# 33.09% 33.20%
35# 33.41% 33.90%
36# 33.20% 32.89%
37# 32.05% 32.54%
38# 33.05% 33.05%
39# 33.45% 33.73%
40# 32.16% 32.85%
41# 32.20% 32.39%
42# 32.12% 32.20%
43# 33.45% 33.90%
44# 32.20% 32.39%
45# 33.37% 33.17%
46# 33.24% 32.85%
47# 32.85% 32.66%
没有找到相关结果
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dchpeng (威望:2) (上海 闵行区) 电子制造 主管
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如果你使用Minitab的话,建议你可以使用时间序列图看一看温度前后的区别
我看了一下,没什么规律(我懒得贴图了,你自己试试)
说句实在话,什么ANOVA,变差分析,2sample t test根本不对
大家可以想象为什么不对?
我根据你现给的条件,得知
此问题是配对T test的问题
具体原因我想大家应该好理解吧
#1号的高温前和2#的高温后有比较性吗??
配对 T 检验和置信区间: 高温前, 高温后
以下是Minitab的计算结果,结论我不解释了,大家看的懂的
高温前 - 高温后 的配对 T
N 平均值 标准差 平均值标准误
高温前 47 0.329177 0.004633 0.000676
高温后 47 0.329677 0.004848 0.000707
差分 47 -0.000500 0.003142 0.000458
平均差的 95% 置信区间: (-0.001422, 0.000422)
平均差 = 0 (与 ≠ 0) 的 T 检验: T 值 = -1.09 P 值 = 0.281