# Number - Random Weighted (Weighted dice)

> (Data|State) Management and Processing > (Data Type|Data Structure) > Number, Numeric, Quantity

### Table of Contents

## 1 - About

How to generate random data that is not normal (With a Given Distribution) ?

For instance, how to generate data for a weighted dice (also known as weighted or crooked die) with the following weights:

- Number 1: 1
- Number 2: 3
- Number 3: 1
- Number 4: 2
- Number 5: 1
- Number 6: 4

## 2 - Algorithm

### 2.1 - Weighted list

- Make a weighted list:

{ 1, 2, 2, 2, 3, 4, 4, 5, 6, 6, 6, 6 }

- Generate the list index randomly in order to get your element in the list. The list index is then a random number that is 0 or greater and is less than the length of the list (ie sum of the weights)

<math> \text{random list index} = (\text{random number between 0 and 1}) * 12 </math>

- Pick your element in the list corresponding to this random index

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### 2.2 - Sum of weights

- Calculate the sum of all the weights:

<math> 1 + 3 + 1 + 2 + 1 + 4 = 12 </math>

- Pick a random number that is 0 or greater and is less than the sum of the weights
- Go through the items one at a time, subtracting their weight from your random number, until you get the item where the random number is less than that item's weight