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NotesMath AA SLTopic 4.7Distributions & E(X)
Back to Math AA SL Topics
4.7.11 min read

Distributions & E(X)

IB Mathematics: Analysis and Approaches • Unit 4

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Contents

  • Probability distributions
  • Finding an unknown probability
  • Expected value E(X)
  • Games & fair games
A table of outcomes and their probabilities: A discrete random variable X takes separate values, each with a probability. A probability distribution lists them in a table. The probabilities must be valid (each between 0 and 1) and sum to 1.
All the probabilities of a discrete distribution add to 1.

IB-style question — is it valid?

A variable X has P(X = 1) = 0.1, P(X = 2) = 0.3, P(X = 3) = 0.4, P(X = 4) = 0.2. Show that this is a valid probability distribution.

Step by step

  1. Each probability is between 0 and 1, and add them.
  2. Since they total 1, it is valid.

Final answer

All probabilities are valid and sum to 1, so it is a valid distribution.

The total is always 1: If the probabilities don't add to 1, either a value is missing or there's an error.
Use Σ P = 1 to solve for the unknown: If a probability (or a parameter inside one) is unknown, set the sum of all probabilities equal to 1 and solve.

IB-style question — find k

A distribution has P(X = x) = kx for x = 1, 2, 3, 4. Find k, then P(X = 3).

Step by step

  1. Sum the probabilities and set equal to 1.
  2. Solve, then substitute.

Final answer

k = 0.1; P(X = 3) = 0.3.

Substitute back: After finding the parameter, substitute to get the actual probability the question asks for.

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Sum of value × probability: The expected value (mean) of X is E(X) = Σ x·P(X = x) — multiply each value by its probability and add. It's the long-run average value of X.
Expected value — the mean of the distribution.

IB-style question — find E(X)

X has P(X = 1) = 0.1, P(X = 2) = 0.2, P(X = 3) = 0.3, P(X = 4) = 0.4. Find E(X).

Step by step

  1. Multiply each value by its probability.
  2. Add.

Final answer

E(X) = 3.

E(X) need not be a possible value: The mean can be a value X never takes (e.g. 2.7) — it's an average, not an outcome.
E(X) = the long-run average gain: For a game, let X be the net gain. E(X) is the average gain per play. A game is fair when E(X) = 0 (no expected gain or loss). Set E(X) = 0 to find a fair prize.

IB-style question — make it fair

You roll a fair die. You win $w if it shows a six, otherwise you lose $2. Find the prize w that makes the game fair.

Step by step

  1. Net gain: +w with prob 1/6, −2 with prob 5/6. Set E(X) = 0.
  2. Solve for w.

Final answer

A prize of $10 makes the game fair.

Use the NET gain: Include the cost or loss in X. If a $5 prize costs $5 to enter, the net 'win' is $0, not $5.

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X has P(X = 1) = 0.2, P(X = 2) = 0.5, P(X = 3) = 0.3. Find E(X). [2 marks]

Related Math AA SL Topics

Continue learning with these related topics from the same unit:

4.1.1Populations & samples
4.1.2Sampling techniques
4.2.1Frequency & histograms
4.2.2Cumulative frequency
View all Math AA SL topics

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