Explain decision tree analysis with examples. (500 words)

Intro (50 words)
- Briefly talk about what a decision tree is and why it is used (to help decision-makers navigate through possible outcomes and form a decision).

Explanation (300 words)
- Explain the key components: arrows of decisions leading to nodes which representations for choses points, white arrows of chance with probabilities and and red arrows of outcomes.
- Illustrate the versatile gamut with two or three decisions, happenings, and results in the simplest easier example.
- Visualize an example of the decision tree that has branches and nodes.
- Compute final weights node and state how to convert decision path back to the tree in order to identify the optimal path.

Examples (100 words)
- Mention about using of decision trees in business (for instance, new product investing, buying tools) 2 times.

Conclusion (50 words)
- Develop decision trees -modeling, to which decisions and uncertainties can be used to guide businesses strategy