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NotesMath AI HLTopic 4.6Combined events and independence
Back to Math AI HL Topics
4.6.35 min read

Combined events and independence (Math AI HL)

IB Mathematics: Applications and Interpretation · Unit 4

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Contents

  1. 1Addition rule for probability
  2. 2Multiplication rule and independence
  3. 3Conditional probability
  4. 4Mutually exclusive or independent: show it

Addition rule

How to read it

P( )

The probability of what is inside the brackets.

Or

A or B or both: at least one happens.

∪ means "or".

And

A and B: both happen.

∩ means "and".

Why subtract intersection?: If events overlap, we count intersection twice.

Subtract once to correct.
Hand-drawn: 10 dots for a class, a blue loop round the 5 football players and an amber loop round the 4 tennis players overlapping on 2 students, then 5 + 4 − 2 = 7.
Two groups that overlap: add them, then subtract the overlap once.

Example: football or tennis

In a class of 10 students, 5 play football, 4 play tennis and 2 play both. A student is chosen at random.

Find the probability that the student plays football or tennis.

Solution

  1. 5 + 4 − 2 = 7 students play football or tennis.
  2. Or use the rule with probabilities.

Final answer

7/10 = 0.7

Worked example

P(A)=0.4, P(B)=0.3, P(both)=0.1.

Find P(A or B).

Solution

  1. P(A or B)=0.4+0.3-0.1
  2. P(A or B)=0.6

Final answer

0.6 (subtract 0.1 to avoid double-counting).

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Multiplication rule and independence

How to read it

For independent events.

P( )

The probability of what is inside the brackets.

And

A and B: both happen.

∩ means "and".

Times

Multiply the two probabilities.

Independent events: Independent (one does not change the other): multiply as they are, e.g. 0.2 × 0.3.

Not independent: still multiply, but the second probability changes, e.g. 3 red and 2 blue, not put back: 3/5 × 2/4.

Worked example

A train is late with probability 0.2. On any day, independently, it rains with probability 0.3.

Find the probability that the train is late and it rains.

Solution

  1. P(late) = 0.2, P(rain) = 0.3. Independent: one does not change the other.
  2. P(late and rain) = 0.2 × 0.3 = 0.06

Final answer

0.06. Independent, so multiply.

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Conditional probability

How to read it

Given

B, given that A has happened.

| means "given".

Top

A and B both happen.

Bottom

A happens: the group you look at.

What it means: You already know A happened, so look only at the A group. Then ask: what fraction of that group is B?

E.g. 12 students are in the chess club and 3 of them wear glasses: P(glasses | chess club) = 3/12.
Hand-drawn: a box of 5 red and 3 black cards; one red card is taken out, leaving 7 cards, and the 4 red ones left are ringed.
"Given the first is red": look only at the cards that are left.

Worked example

A bag has 6 green and 4 yellow sweets. Two sweets are taken, one after the other, without putting the first back.

The first sweet is green. Find the probability that the second sweet is yellow.

Solution

  1. Given the first sweet is green: 9 sweets are left. All 4 yellow sweets are still there.
  2. Look only at the sweets that are left.

Final answer

4/9 ≈ 0.444

Show it: mutually exclusive or independent?

Mutually exclusive?: Means: they cannot happen together.

Test: is P(A ∩ B) = 0?

0 → mutually exclusive. More than 0 → not mutually exclusive.
Independent?: Means: one does not change the probability of the other.

Test: work out P(A) × P(B). Is it the same as P(A ∩ B)?

Same → independent. Different → not independent.

Mutually exclusive?

In a class of 28, 9 students play the piano, 12 play football and 4 do both. Are "plays the piano" and "plays football" mutually exclusive? Justify your answer.

Solution

  1. Mutually exclusive means they cannot happen together, so P(both) would be 0.
  2. 4 students do both.

Final answer

No: 4 students play both, so P(P ∩ F) = 4/28 ≠ 0. The events are not mutually exclusive.

Independent?

In a class of 20 students, 8 wear glasses, 10 play a sport and 4 do both. A student is chosen at random. Are "wears glasses" and "plays a sport" independent? Justify your answer.

Solution

  1. Find each probability from the question.
  2. Multiply them.
  3. Find P(both) from the question.
  4. Compare: they are the same.

Final answer

Yes: P(G) × P(S) = 0.2 = P(G ∩ S), so the events are independent.

Exam tip: "Justify" = the number that shows it AND the conclusion. "No" alone scores 0.

Try an IB Exam Question — Free AI Feedback

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A fair coin is tossed twice.

Write down the probability of two heads. [1 mark]

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