# Dice Throw Event Instance

A Dice Throw Event Instance is a repeatable multinomial stochastic event that involves the throwing of a dice (and dice roll outcome typically with symbols {1,2,3,4,5,6}).

**AKA:**Dice Roll Act.**Context:**- It can range from being a One Dice Throw Event to being a Two Dice Throw Event.
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**Counter-Example(s):****See:**Dice Roll Experiment, Playing Card Throw Event.

## References

### 2009

- http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/Chapter1.pdf
- QUOTE: In this chapter, we shall first consider chance experiments with a finite number of possible outcomes [math]\displaystyle{ \mathcal{w}_1, \mathcal{w}_2, ..., \mathcal{w}_n }[/math]. For example, we roll a die and the possible outcomes are 1, 2, 3, 4, 5, 6 corresponding to the side that turns up. We toss a coin with possible outcomes H (heads) and T (tails).
It is frequently useful to be able to refer to an outcome of an experiment. For example, we might want to write the mathematical expression which gives the sum of four rolls of a die. To do this, we could let Xi, i = 1; 2; 3; 4; represent the values of the outcomes of the four rolls, and then we could write the expression :[math]\displaystyle{ X_1 + X_2 + X_3 + X_4 }[/math] for the sum of the four rolls. The Xi's are called random variables. A random variable is simply an expression whose value is the outcome of a particular experiment. Just as in the case of other types of variables in mathematics, random variables can take on different values.

- QUOTE: In this chapter, we shall first consider chance experiments with a finite number of possible outcomes [math]\displaystyle{ \mathcal{w}_1, \mathcal{w}_2, ..., \mathcal{w}_n }[/math]. For example, we roll a die and the possible outcomes are 1, 2, 3, 4, 5, 6 corresponding to the side that turns up. We toss a coin with possible outcomes H (heads) and T (tails).