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Operations research
Lesson 54 of 75
Challenge

Decision analysis

Objective. Compare decisions under uncertainty.

  1. 1. Learn
  2. 2. Worked example
  3. 3. Practice
  4. 4. Feedback
  5. 5. Continue

Learn: the key idea

Decision analysis compares choices under uncertainty by structuring a decision tree with decision nodes, chance nodes and payoffs, then computing the expected monetary value (EMV) of each option by weighting outcomes by their probabilities. The decision with the highest EMV is preferred under risk-neutral assumptions. For example, an investment paying £1000 with probability 0.4 and £200 otherwise has EMV = 0.4(1000) + 0.6(200) = £520. Sensitivity analysis then checks how the chosen decision changes if probabilities or payoffs shift, and utility functions can replace EMV when the decision-maker is risk-averse.

Worked example

In a decision analysis of two business options, option A pays £8000 with probability 0.3 and £1000 otherwise; option B pays £4000 with probability 0.6 and £2000 otherwise. Using expected monetary value, which option should be chosen?

£8000.00
Money illustration for £8000
  1. 1Compute EMV(A) = 0.3(8000) + 0.7(1000) = 2400 + 700 = 3100.
  2. 2Compute EMV(B) = 0.6(4000) + 0.4(2000) = 2400 + 800 = 3200.
  3. 3Compare the two expected monetary values, 3100 for A and 3200 for B.
  4. 4Since EMV(B) exceeds EMV(A), option B maximises expected monetary value.

Answer: Option B

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Common mistake. A common mistake is comparing only the best-case payoffs of each option rather than computing expected monetary value across all outcomes weighted by probability, which ignores how likely each outcome actually is.

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