I'm trying to reverse engineer tabular data points in order to arrange data that converges to a certain point.
Lets say there are 150,000 participants in a survey that I have to plug values for. 100,000 are coded as 5. 50,000 are coded as 3.
I found this thread: http://www.mrexcel.com/forum/showthread.php?t=425799, but couldn't make sense of it.
I'm trying to generate random numbers for those 100,000 participants between 1-5, so that the average would converge towards 5, and generate numbers for the 50,000 that converge toward 3.
Anyone have any idea how to use 3 and 5 as seats in a rand() function that include normal distribution consideration?
Lets say there are 150,000 participants in a survey that I have to plug values for. 100,000 are coded as 5. 50,000 are coded as 3.
I found this thread: http://www.mrexcel.com/forum/showthread.php?t=425799, but couldn't make sense of it.
I'm trying to generate random numbers for those 100,000 participants between 1-5, so that the average would converge towards 5, and generate numbers for the 50,000 that converge toward 3.
Anyone have any idea how to use 3 and 5 as seats in a rand() function that include normal distribution consideration?