Tutorial: Decision trees
This chapter shows you how to:
- Define a variable as a probability table
- Define a variable as a deterministic table
In this chapter you will create a new Analytica model called Party Problem. (For information about how to create a new model, see the beginning of Chapter 4.) The Party Problem model illustrates the use of discrete probability distributions.
You should study this chapter if your models use discrete or conditional probabilities.
In many kinds of models, your variables can be described using probability distributions based on expert judgment or on empirical data. On those occasions when the outcomes are discrete or qualitative (for example, low, medium, or high), you might need to use discrete probability distributions.
In the Party Problem model, the key uncertain variable is weather: it could be sunny or rainy. The weather has an impact on the decision about the location of a party — indoors, on a porch, or outdoors.
See Also
| Working with Arrays (Tables) <- | Creating the Party Problem Model | -> Creating the Foxes and Hares Model |
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