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v0.1.1506
NotesMath AATopic 4.6Independent events
Back to Math AA Topics
4.6.31 min read

Independent events

IB Mathematics: Analysis and Approaches • Unit 4

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Contents

  • Independent events
  • Testing for independence
  • Mutually exclusive vs independent
  • Combining the rules
One doesn't affect the other → multiply: Two events are independent if one happening doesn't change the other's probability.

Then P(A ∩ B) = P(A) × P(B) — multiply to get 'both happen'.

Independent events: the second branch probabilities match the first — one outcome doesn't change the next.

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The multiplication rule for independent events.

IB-style question — both happen

P(A) = 0.6 and P(B) = 0.5, and A and B are independent.

Find P(A ∩ B).

Step by step

  1. Independent → multiply.
  2. Evaluate.

Final answer

P(A ∩ B) = 0.3.

Independent = multiply for 'and': For independent events, 'A and B' is a simple product — no tree needed.

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Check whether P(A∩B) = P(A)·P(B): To test independence, compare the actual P(A ∩ B) with the product P(A) × P(B).

If they're equal, the events are independent; if not, they're dependent.

IB-style question — are they independent?

P(A) = 0.4, P(B) = 0.5 and P(A ∩ B) = 0.2.

Determine whether A and B are independent.

Step by step

  1. Compute the product.
  2. Compare with the given intersection.

Final answer

Since P(A)·P(B) = 0.2 = P(A ∩ B), the events are independent.

Show the comparison: State both numbers and that they're equal (or not) — that comparison is what earns the conclusion mark.

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Two different ideas — don't confuse them: Mutually exclusive: can't both happen, so P(A ∩ B) = 0 and P(A ∪ B) = P(A) + P(B).

Independent: one doesn't affect the other, so P(A ∩ B) = P(A)·P(B).

These are different properties.

Mutually exclusive

  • can't both happen
  • P(A ∩ B) = 0
  • P(A ∪ B) = P(A) + P(B)

Independent

  • one doesn't affect the other
  • P(A ∩ B) = P(A)·P(B)
  • usually a non-zero overlap

IB-style question — mutually exclusive union

A and B are mutually exclusive with P(A) = 0.3 and P(B) = 0.45.

Find P(A ∪ B).

Step by step

  1. Mutually exclusive → P(A ∩ B) = 0.
  2. Evaluate.

Final answer

P(A ∪ B) = 0.75.

Use independence inside the addition rule: When events are independent, substitute P(A ∩ B) = P(A)·P(B) into the addition rule to find a missing probability: P(A ∪ B) = P(A) + P(B) − P(A)·P(B).

IB-style question — find a missing probability

A and B are independent, with P(A) = 0.3 and P(A ∪ B) = 0.65.

Find P(B).

Step by step

  1. Addition rule with independence.
  2. Collect and solve.

Final answer

P(B) = 0.5.

Let P(B) be the unknown: Write P(A ∩ B) as P(A)·P(B), substitute, and solve the linear equation for the unknown probability.

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Events A and B are independent with P(A) = 0.7 and P(B) = 0.2. Find P(A ∩ B). [2 marks]

Related Math AA 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
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