Good Afternoon,
I have been struggling with this problem for a few months and several people have kindly attempted to help through the forums, but I am hoping I can finally solve my problem definitively.
Is it possible to create a formula that will generate a random number between 0.00% (floor) and a ceiling (this is a number I would like to control independently in a different cell, to test many different iterations) - assume 2.50%. However, I need to apply this formula over 101 cells, vertically, and the total must always equal 100.00%.
For example:
1. 0.25% (first random number)
2. 1.32%
3. 0.88%
4. 2.01%
5. 0.01%
6. 1.36%
(etc., with all other 94 cells following similar pattern)
101. 0.57% (last random number)
Total = 100.00%
A problem that has cropped up before is that the first 15 or 20 "consume" the distribution, so that the further down the cells you go, the smaller the number is or often just 0%. So I need to distribution to truly be random, as exemplified above.
Any help would be GREATLY appreciated!
Many thanks,
HGL
I have been struggling with this problem for a few months and several people have kindly attempted to help through the forums, but I am hoping I can finally solve my problem definitively.
Is it possible to create a formula that will generate a random number between 0.00% (floor) and a ceiling (this is a number I would like to control independently in a different cell, to test many different iterations) - assume 2.50%. However, I need to apply this formula over 101 cells, vertically, and the total must always equal 100.00%.
For example:
1. 0.25% (first random number)
2. 1.32%
3. 0.88%
4. 2.01%
5. 0.01%
6. 1.36%
(etc., with all other 94 cells following similar pattern)
101. 0.57% (last random number)
Total = 100.00%
A problem that has cropped up before is that the first 15 or 20 "consume" the distribution, so that the further down the cells you go, the smaller the number is or often just 0%. So I need to distribution to truly be random, as exemplified above.
Any help would be GREATLY appreciated!
Many thanks,
HGL