1
Every outcome, weighted by its chance.
E = Σ (value × probability)
| Outcome | Value | Probability | Product |
| win | 200 | 0.2 | 40 |
| lose | 0 | 0.8 | 0 |
| total | — | 1.0 | 40 |
The winnings are worth ₱40 a game on average — before you pay to play.
The probabilities must total 1. If they do not, an outcome has been missed.
2
Subtract what it costs.
expected winnings = 40
from Step 1
cost = 50
paid every time
net = 40 − 50 = −10
a loss
expect to lose ₱10 per play
The cost is certain, the prize is not
₱50 leaves your pocket on every single game, so it is not weighted by anything.
Only the uncertain amounts get multiplied by probabilities.
A raffle. 400 tickets are sold at ₱15 each, with one ₱2,000 prize and four ₱250 prizes. Each ticket has the same chance at every prize.
prize money = 2000 + 4(250) = 3000
add every prize
expected winnings = 3000 ÷ 400 = 7.50
shared over all the tickets
net = 7.50 − 15 = −₱7.50
minus the ticket price, once
The seller’s side is the same sum turned over: an insurer who charges ₱500 and pays ₱20,000 with probability 0.02 expects to gain 500 − 0.02(20 000) = ₱100 per policy.
3
What “expected” actually means.
it does not mean
you will lose ₱10 this game
you win 200 or win 0 — never −10
it does mean
₱1,000 down over 100 games
the long-run average
100 games, 20 wins expected
20% of 100
won 20 × 200 = 4,000
total winnings
paid 100 × 50 = 5,000
total cost
4
A fair game has an expected value of zero.
| Expected value | Verdict |
| positive | favours the player |
| zero | fair |
| negative | favours the house |
what price would be fair?
set net to 0
cost = ₱40
anything above is a losing bet
Real lotteries and casinos are always negative for the player. That gap is exactly
how they make money.
5
More than two outcomes.
The average roll of a fair die.
each face has probability ⅙
fair die
E = (1+2+3+4+5+6) ÷ 6
equal weights
= 21 ÷ 6 = 3.5
a value the die cannot show
An expected value need not be a possible outcome. It is an average, not a
prediction.
With unequal probabilities the same method still works — build the table, multiply
each value by its own chance, and add the column.
6
Variations: a missing probability, a penalty for wrong answers.
A missing probability. X takes the values 1, 2 and 4 with probabilities 0.5, k and 0.2. Find the expected value of X.
0.5 + k + 0.2 = 1, so k = 0.3
the probabilities must total 1
E = 1(0.5) + 2(0.3) + 4(0.2)
value × probability
= 0.5 + 0.6 + 0.8 = 1.9
between 1 and 4 ✓
What is different: one probability is hidden. Find it from “they add to 1” before building the table.
A penalty for wrong answers. A test has 20 items with 4 choices each. A right answer scores 1 point and a wrong one loses 13 of a point. What is the expected score from guessing every item?
one item: 1 × 14 + (−13) × 34
the loss goes in as a negative value
20 items: 20 × 0 = 0
expected values add
What is different: a loss is a negative value in the table, and the expected value of many identical items is n times the value of one. The penalty is set so that blind guessing is a fair game.
Answering 5
20 × 14 = 5 is the expected number of right answers, not the score. The 15 expected wrong answers cost 15 × 13 = 5 points back.
7
Backwards: the prize that makes a game fair.
expected winnings = 16x + 26(12)
weight each prize
x6 + 4 = 15
fair: expected winnings = the fee
Check: (66 + 12 + 12) ÷ 6 = 90 ÷ 6 = 15 ✓.
Setting the winnings to 0
The fee is paid every game, so “fair” means the expected winnings equal the fee (a net value of 0), not that the winnings themselves are 0.
On the exam
Expect raffles (total prize money ÷ tickets, minus the price), spinners and dice games, insurance, or a missing prize or fee that makes a game fair. Build the value × probability table, then subtract the certain cost once. Ten-second check: the expected value must lie between the worst and the best single outcome.
✓
Check: does it sit inside the range?
possible results
−50 or +150
lose the fee, or win 200 less 50
expected
0.2(150) + 0.8(−50)
30 − 40 = −10 ✓
sensible?
−50 < −10 < 150
between the extremes ✓
Netting the cost inside each outcome gives the same −10. Either route works.
Remember the flow
Value × probability · Add · Subtract the cost
Zero means fair; negative favours the house.