Expected Values (DP IB Analysis & Approaches (AA)): Revision Note
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Expected values E(X)
What does E(X) mean and how do I calculate E(X)?
E(X) means the expected value or the mean of a random variable X
The expected value does not need to be an obtainable value of X
For example: the expected value number of times a coin will land on tails when flipped 5 times is 2.5
For a discrete random variable, it is calculated by:
Multiplying each value of
with its corresponding probability
Adding all these terms together
This is given in the exam formula booklet
Look out for symmetrical distributions (where the values of X are symmetrical and their probabilities are symmetrical)
The mean of these is the same as the median
For example: if X can take the values 1, 5, 9 with probabilities 0.3, 0.4, 0.3 respectively, then by symmetry the mean would be 5
How can I decide if a game is fair?
Let X be the random variable that represents the gain/loss of a player in a game
X will be positive if there is a gain, and negative if there is a loss
Normally the expected gain or loss,
. is calculated by subtracting the cost to play the game from the expected value of the prize
If E(X) is positive then it means the player can expect to make a gain
If E(X) is negative then it means the player can expect to make a loss
The game is called fair if the expected gain is 0
Worked Example
Daphne pays $15 to play a game where she wins a prize of $1, $5, $10 or $100. The random variable represents the amount she wins and has the probability distribution shown in the following table:
1 | 5 | 10 | 100 | |
0.35 | 0.5 | 0.05 | 0.1 |
a) Calculate the expected value of Daphne's prize.

b) Determine whether the game is fair.

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