## Abstract

Suppose you want to simulate teachers who judge pupils. Some teachers do not dare to give extreme grades (assume they give grade 1 for 2% of all cases, grade 2 for 8%, grade 3 for 80%, grade 4 for 8% and grade 5 for 2%). The next teacher is too critical, his distribution is 40%, 30%, 20%, 10% and 0% for grades 1 till 5. Another one only gives grade 4 (60%) and grade 5 (40%). A last one finally offers sort of a “fair” normal distribution (10%, 20%, 40%, 20%, 10%). How do you produce these random numbers which are distributed as mentioned above? Take the following procedure redw() which creates random numbers with equidistant weights. This function would be called with

```
=INT(1+5*redw(10,20,40,20,10))
```

to simulate the “fair” teacher, for example.

## Appendix – Redw Code

Please read my Disclaimer.

```
Option Explicit
Function redw(ParamArray vWeights() As Variant) As Double
'Source (EN): http://www.sulprobil.com/redw_en/
'Source (DE): http://www.bplumhoff.de/redw_de/
'(C) (P) by Bernd Plumhoff 09-Dec-2009 PB V0.50
'Produces random numbers with equidistant weights. Redw expects a vector of n random
'weights of type double and returns a random number of type double. This random
'number will lie in the given equidistant n-split-range of the [0,1)-intervall
'with the given likelihood of weightings. Examples:
'a) redw(0,1,0,0,0,0,0,0,0,0) will return a random number d, 0.1 <= d < 0.2
'b) redw(2,1) will return a random number between 0 and 0.5 twice as
' often as a random number between 0.5 and 1.
'c) redw(0,1,0) will return a random number d, 0.333333333333333 <= d < 0.666666666666666.
'd) redw(15.4,15.4,15.4,15.4,15.4,7.7,7.7,7.7,0,0) would return a random value between
' 0 and 0.8, first 5 deciles with double likelihood than decile 6-8.
Dim i As Long
Dim dw As Double
ReDim dwi(0 To UBound(vWeights) + 2) As Double
dw = 0#
dwi(0) = 0#
For i = 0 To UBound(vWeights)
If vWeights(i) < 0# Then 'A negative weight is an error
redw = CVErr(xlErrValue)
Exit Function
End If
dw = dw + vWeights(i) 'Calculate sum of all weights
dwi(i + 1) = dw 'Calculate sum of weights till i
Next i
redw = dw * Rnd
'i = UBound(vWeights) + 1 'i already equals UBound(vWeights) + 1, you may omit this statement.
Do While redw < dwi(i)
i = i - 1
Loop
redw = (CDbl(i) + (redw - dwi(i)) / vWeights(i)) / (CDbl(UBound(vWeights) + 1))
End Function
```