- Dec 29, 2004
- 999
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I have a data set that is essentially a survivorship curve that ends when the # of living reaches 0.
It is really to graph the % of living along the x-axis (time) but I don't know how to test wether two groups are different.
Example Group #1 by hour:
25
25
25
24
22
19
8
5
3
1
0
Example Group #2 by hour:
25
25
25
25
25
25
23
21
18
15
11
8
6
3
2
1
1
1
0
So essentially group #1 die sooner, while Group #2 lives longer. Starting group size is not fixed as in the example, and the resulting # of data points is always going to be different depending on the group and their associated longevity.
Anything I can reference, or explanation of statistical tactics is appreciated.
It is really to graph the % of living along the x-axis (time) but I don't know how to test wether two groups are different.
Example Group #1 by hour:
25
25
25
24
22
19
8
5
3
1
0
Example Group #2 by hour:
25
25
25
25
25
25
23
21
18
15
11
8
6
3
2
1
1
1
0
So essentially group #1 die sooner, while Group #2 lives longer. Starting group size is not fixed as in the example, and the resulting # of data points is always going to be different depending on the group and their associated longevity.
Anything I can reference, or explanation of statistical tactics is appreciated.
