Grasp Maths

Year 11

Conditional probability

Calculate conditional probabilities using tree diagrams, Venn diagrams, and two-way tables. Understand P(AB)P(A|B) notation and the multiplication rule for dependent events.

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Lesson overview

Statistics — advanced probability

**Conditional probability** is the probability of an event given that another event has already occurred. We write P(AB)P(A|B) to mean 'the probability of AA given BB'. P(AB)=P(AB)P(B)P(A|B) = \dfrac{P(A \cap B)}{P(B)} **Tree diagrams** are especially useful for conditional probability: the probabilities on the second set of branches depend on what happened on the first branch. For dependent events (e.g. picking items without replacement): - The probabilities on the second branch change based on the first outcome - P(A and B)=P(A)×P(BA)P(A \text{ and } B) = P(A) \times P(B|A)

Conditional probability with a tree diagram

A bag contains 33 red and 22 blue counters. One is picked and NOT replaced. A second is picked. Find the probability both are red.

First red35\dfrac{3}{5}

3 red out of 5

Second red24\dfrac{2}{4}

2 red out of 4 left

Both red35×24=310\dfrac{3}{5} \times \dfrac{2}{4} = \dfrac{3}{10}

Without replacement, the denominator changes on the second pick.

Using the conditional probability formula

If P(A)=0.4P(A) = 0.4, P(B)=0.5P(B) = 0.5, and P(AB)=0.2P(A \cap B) = 0.2, find P(AB)P(A|B).

Divide the intersection by the given event's probability.

Venn diagrams for conditional probability

In a Venn diagram, P(AB)P(A|B) means we restrict our attention to just the BB circle and ask: what proportion of BB is also in AA?

P(AB)P(A|B)P(AB)P(B)\dfrac{P(A \cap B)}{P(B)}

given B, what's the chance of A?

P(BA)P(B|A)P(AB)P(A)\dfrac{P(A \cap B)}{P(A)}

given A, what's the chance of B?

The condition tells you the denominator.

Worked example

In a group of 2020 students, 1212 play football, 88 play rugby, and 33 play both. A student who plays rugby is chosen at random. What is the probability they also play football?

  1. We need P(footballrugby)P(\text{football} | \text{rugby}).
  2. Using the formula: P(FR)=P(FR)P(R)P(F|R) = \dfrac{P(F \cap R)}{P(R)}.
  3. P(FR)=320P(F \cap R) = \dfrac{3}{20} and P(R)=820P(R) = \dfrac{8}{20}.
  4. P(FR)=3/208/20=38P(F|R) = \dfrac{3/20}{8/20} = \dfrac{3}{8}.

Try it

Identify which event is the condition (the 'given' part), then use it as the denominator.

Question 1

A bag has 44 green and 66 yellow counters. Two are picked without replacement. What is P(second is greenfirst is green)P(\text{second is green} | \text{first is green})?

Question 2

If P(AB)=0.15P(A \cap B) = 0.15 and P(B)=0.3P(B) = 0.3, what is P(AB)P(A|B)?

Question 3

Two cards are drawn from a standard pack without replacement. What is P(both aces)P(\text{both aces})?

Question 4

If P(AB)=P(A)P(A|B) = P(A), what does this tell us about events AA and BB?

Question 5

In a class, P(passes maths)=0.7P(\text{passes maths}) = 0.7 and P(passes maths and science)=0.42P(\text{passes maths and science}) = 0.42. What is P(passes sciencepasses maths)P(\text{passes science} | \text{passes maths})?

Common mistakes

Watch for these when working through the lesson.

  • Using P(A)P(A) as the denominator instead of P(B)P(B) when finding P(AB)P(A|B).
  • Forgetting that without replacement changes the denominator on the second branch.
  • Assuming events are independent when they are actually dependent (e.g. picking without replacement).

Related topics

These ideas fit closely with this lesson.

  • Set notation and Venn diagrams.
  • Tree diagrams.
  • Sample space diagrams.

Practice next

Independent practice will plug in here

This lesson builds the understanding first. Deeper adaptive practice can sit here later.