Decision trees and what it enables managers to do?
A
is a quantitative and methodical organizational planning tool based on the mathematical concept of probability trees.
it allows managers to see possible options and the probable outcomes, thereby helping them to make more informed decisions.
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2
Q
Conventions in drawing a decision tree are outlined below:
A
A square represents a decision node, i.e., a decision that needs to be made.
A circle represents a chance node (or probability node), i.e., the probable outcomes (or expected outcomes) of different decisions.
Probabilities of the different outcomes are shown as decimal numbers, e.g., 0.65 means a 65% chance of the outcome occurring.
Cross out lines (or strike out lines) indicate the options that are rejected based on quantitative reasoning and logic.
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3
Q
Advantages of using decision trees: (3)
A
offer managers a visual representation of different decisions and choices, with probable and quantifiable outcomes.
It helps managers to consider the various financial risks involved with different decisions and choices
The results are easy to understand, with tangible quantitative results to support decision making.
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4
Q
Disadvantages of using decision trees: (3)
A
decision trees ignore qualitative factors (non-financial information) that often affect decision making
The probabilities are, at best, only forecasts even if based on market research data. This means the predicted outcomes are still unknown.
For very complex decisions with numerous and interconnected options, it can be difficult to construct a decision tree diagram that is concise and succinct.