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Expected Value

level 27 course

Probability-weighted outcomes, and why the average isn't the whole story.

In your head, jot if needed · no calculator why?

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Builds on: Probability Basics (not open yet)

the lesson

The idea, the techniques and a tip for each skill, right here. The Learn page adds worked examples for every skill and untimed practice.

Read the lesson · about 3 minutes

The idea

Expected value is the probability-weighted average of the outcomes: each outcome times its chance, added up, with losses counted as negative. It is what a decision is worth on average over many like it.

Check two things first. The chances must add to 100%. And know whether the outcomes are net, with the decision's cost already taken out; if they are, don't subtract the cost again.

Techniques

Weigh each outcome

Two or more outcomes, each with a chance.

  1. List each outcome with its chance, and check the chances add to 100%.
  2. Multiply each outcome by its chance, as a decimal.
  3. Add the gains and subtract the losses.
worked example

Example: A bike shop's event has net outcomes: gain $2,000 (30% chance), break even (50% chance), or lose $1,000 (20% chance). What is the expected net value? (Use a minus sign if negative.)

  1. 0.3 × $2,000 = $600.
  2. The loss: 0.2 × $1,000 = $200.
  3. $600 + $0 − $200 = $400.

Answer: $400

Loss over the total swing

The chance of success that makes the expected value exactly zero.

  1. Zero means chance × gain equals (1 − chance) × loss.
  2. So the chance is the loss divided by the gain plus the loss.
worked example

Example: A tutoring service's project either earns $600 net or loses $200 net. What chance of success makes its expected value exactly zero?

  1. Total swing: $600 + $200 = $800.
  2. $200 ÷ $800 = 0.25 = 25%.
  3. Check: 0.25 × $600 = $150, and 0.75 × $200 = $150.

Answer: 25%

Then check the bad case

Choosing between a safe option and a risky one with a higher average.

  1. Work out the risky option's expected value.
  2. Then take its loss from the cash on hand.
  3. Below zero: the higher average may not be worth the risk.
worked example

Example: A café has $3,000 of cash. Option B has a 50% chance to gain $8,000 and a 50% chance to lose $5,000. How much cash is left after the bad case? (Use a minus sign if negative.)

  1. B's expected value: 0.5 × $8,000 − 0.5 × $5,000 = $1,500.
  2. Bad case: $3,000 − $5,000 = −$2,000.

Answer: −$2,000

Tips by skill

  • TipExpected value: two outcomes: Chance × gain minus chance × loss, with each chance as a decimal. The outcomes are already net of costs.
  • TipExpected value: three scenarios: Multiply each outcome by its chance and add, counting losses as negative. The chances should add to 100%.
  • TipBreak-even probability: Divide the loss by the total swing, gain plus loss. At that chance the expected value is zero.
  • TipAverage versus survival: Compare the expected values, then take B's loss from the cash on hand. Whether cash stays above zero decides it.

Watch out for

  • Averaging the outcomes as if each were equally likely. A $2,000 gain at 25% and a $200 loss at 75% is worth $350, not $900.
  • Subtracting the cost again when the outcomes are already net of it.
  • Dividing the loss by the gain for the break-even chance. For a $300 gain or $100 loss it is 100 ÷ 400, 25%, not 100 ÷ 300.

skills · practice stats

From rounds of this course only: box, review and test-out answers are left out. Once a skill has 40 tries, it compares your first 20 tries with your last 20.

rest ladder

Win 3 of your last 4 rounds and the course rests. A win is 90% right, within 2× the round's par. Pass the review when it comes back and the next rest is longer.

  1. 1 day
  2. 3 days
  3. 7 days
  4. 14 days
  5. 30 days
  6. 60 days
  7. mastered · every 90 days

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