MGMT90141 Chap.4 Decision Trees and Expected Outcomes

Decision Trees and Expected Outcomes

Define decision tree

The course material gives this chapter a concrete anchor: The current Week 5 topic introduces decision analysis with perfect information after optimisation applications.

That decision tree anchor controls how expected monetary value is explained and how risk profile is tested in changed practice.

Decision Trees and Expected Outcomes frames a decision through decision tree, expected monetary value and risk profile.

The objective is to sequence choices and uncertain events before comparing probability-weighted consequences, so the chapter should be read as a chain from problem definition to evidence, option comparison and accountable action.

Start with decision tree and name the decision owner, affected stakeholders and time horizon.

The same decision tree fact can matter differently across those positions, so the opening frame determines which evidence is relevant.

Use expected monetary value to explain how the present condition produces an opportunity, cost or risk.

A strong expected monetary value mechanism states what changes, for whom and through which organisational, market or institutional process.

Apply risk profile when comparing options. Keep the risk profile criteria distinct, test trade-offs and ask which assumption drives the recommendation.

A score or matrix helps only when its criteria are justified by the case.

For the application — sequence choices and uncertain events before comparing probability-weighted consequences — finish with an actor, action, rationale and review trigger.

This turns the risk profile analysis into a recommendation while keeping the decision open to new evidence.

Trace expected monetary value

Build a decision ledger.

Separate the current condition, the stakeholder affected, the evidence supporting decision tree, the mechanism represented by expected monetary value and the criterion supplied by risk profile. If a risk profile recommendation cannot point back to one of those entries, it is probably preference dressed as analysis rather than a consequence of the case.

Compare at least two feasible options against the same criteria.

State who benefits under risk profile, who bears cost or risk, what capability implementation requires and what evidence would reveal failure.

This comparison is essential when students need to sequence choices and uncertain events before comparing probability-weighted consequences, because an attractive option is not defensible until its trade-offs are visible.

Rehearse the MGMT90141 decision tree response as a short briefing: one sentence for the decision, two for the evidence and mechanism, one for the alternative and one for the qualified recommendation.

Then expand only the expected monetary value move that needs more support. This protects the argument structure under a strict word or time limit.

A complete response should make the task visible before the detail: identify what must be decided, define the relevant terms, connect the evidence to expected monetary value, and use risk profile to test the result.

The final sentence about risk profile should answer the question actually asked rather than merely repeat the topic.

The controlling limit is specific: Equal expected values can conceal very different downside, timing and risk-tolerance implications.

Keep that risk profile limit beside the worked example, because it separates a careful MGMT90141 answer from one that sounds confident but claims more than the task or evidence supports.

For revision, retrieve decision tree, expected monetary value and risk profile without notes, explain their relationship aloud, then complete a changed version of the application: sequence choices and uncertain events before comparing probability-weighted consequences.

Record the first failed expected monetary value reasoning move and repair it before attempting another case.

What this chapter covers

• 01

  decision tree

• 02

  expected monetary value

• 03

  risk profile

• 04

  Applying decision tree

• 05

  Limits of expected monetary value and risk profile

AskSia practice: apply Decision Trees and Expected Outcomes

Key terms

decision tree

A branching representation of decision choices, uncertain events, probabilities and consequences in sequence. Use this definition when the task is to sequence choices and uncertain events before comparing probability-weighted consequences.

expected monetary value

The probability-weighted average monetary outcome for a decision under stated probabilities and payoffs. Use this definition when the task is to sequence choices and uncertain events before comparing probability-weighted consequences.

risk profile

The full distribution of possible outcomes and probabilities rather than its expected value alone. Use this definition when the task is to sequence choices and uncertain events before comparing probability-weighted consequences.

Decision Trees and Expected Outcomes FAQ

Exam move

Reconstruct the relationship among decision tree, expected monetary value and risk profile; complete the chapter application without notes; then test the result against this limit: Equal expected values can conceal very different downside, timing and risk-tolerance implications.

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