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Combined events and tree diagramsIB MYP Maths Extended: Revision notes

Section 1

Probability of one event

The probability of an event is a number from 00 to 11: P(event)=number of favourable outcomestotal number of equally likely outcomesP(\text{event})=\frac{\text{number of favourable outcomes}}{\text{total number of equally likely outcomes}}. The probabilities of all possible outcomes add to 11, so the complement (the event not happening) has probability 1−P(event)1-P(\text{event}). Example: a bag holds 33 red and 22 green counters, so P(red)=35P(\text{red})=\frac{3}{5} and P(not red)=1−35=25P(\text{not red})=1-\frac{3}{5}=\frac{2}{5}.

Key termsprobabilitycomplement

Section 2

Independent events and the multiplication rule

Two events are independent if one happening does not change the probability of the other, for example two spins of a spinner or a coin toss and a die roll. For independent events A and B, the multiplication rule gives P(A and B)=P(A)×P(B).P(A\text{ and }B)=P(A)\times P(B). Example: a spinner lands on green with probability 0.30.3. Two spins are independent, so P(two greens)=0.3×0.3=0.09P(\text{two greens})=0.3\times0.3=0.09. Multiply when you see 'and', 'then' or 'both'.

Key termsindependent eventsmultiplication rule
Common mistake

Adding probabilities for 'and'. 'Both green' needs 0.3×0.30.3\times0.3, not 0.3+0.30.3+0.3.

Section 3

Mutually exclusive events and the addition rule

Events are mutually exclusive if they cannot happen at the same time, such as rolling a 22 and rolling a 55 on one die throw. For mutually exclusive events the addition rule gives P(A or B)=P(A)+P(B).P(A\text{ or }B)=P(A)+P(B). Example: for a fair die, P(2 or 5)=16+16=13P(2\text{ or }5)=\frac16+\frac16=\frac13. Add when you see 'or' for events that cannot both happen, and when you combine different routes that give the same overall outcome.

Key termsmutually exclusiveaddition rule

Section 4

Tree diagrams with replacement

A tree diagram shows every outcome of a sequence of events. Each branch is labelled with its probability and the branches from one point add to 11. To find the probability of a route, multiply along its branches. To find the probability of an outcome that can happen by several routes, add the route probabilities. Example: a spinner has P(green)=0.3P(\text{green})=0.3 and P(yellow)=0.7P(\text{yellow})=0.7, spun twice. Exactly one green: green then yellow is 0.3×0.7=0.210.3\times0.7=0.21 and yellow then green is 0.7×0.3=0.210.7\times0.3=0.21, so P=0.21+0.21=0.42P=0.21+0.21=0.42. When items are replaced, the branch probabilities are the same on every draw, so the events are independent.

Key termstree diagrambranch
Exam tip

Check each set of branches adds to 11, and that your final route probabilities add to 11.

Section 5

Tree diagrams without replacement

If an item is not replaced, the numbers change for the second draw, so the events are dependent and the second-branch probabilities depend on what happened first. Example: a drawer has 66 black and 44 white socks. Two are taken without replacement. P(both black)=610×59=13P(\text{both black})=\frac{6}{10}\times\frac{5}{9}=\frac{1}{3}, because after one black sock is removed, 55 black remain out of 99. Different colours: 610×49+410×69=4890=815\frac{6}{10}\times\frac{4}{9}+\frac{4}{10}\times\frac{6}{9}=\frac{48}{90}=\frac{8}{15}.

Key termsdependent eventswithout replacement
Common mistake

Keeping the denominator as 1010 on the second draw. Without replacement it drops to 99.

Section 6

Using the complement and choosing a method

'At least one' is often quickest as 1−P(none)1-P(\text{none}). Example: P(at least one yellow in two spins)=1−0.3×0.3=0.91P(\text{at least one yellow in two spins})=1-0.3\times0.3=0.91. Method: (1) decide with or without replacement; (2) write each route; (3) multiply along routes; (4) add routes for the same outcome; (5) check that all outcomes add to 11. Leave answers as fractions or decimals (3 s.f.), and show each step so a marker can follow your working.

Key termsat least one

That's the notes covered.

Carry on to the next subtopic.

Exam questions on Combined events and tree diagrams

  1. A spinner in a board game played in Nairobi lands on green with probability 0.30.3 and on yellow with probability 0.70.7. It is spun twice, and the two spins are independent.
    Find the probability that at least one spin lands on yellow.2 marks
  2. In a dormitory in Seoul, a drawer contains 66 black socks and 44 white socks. Two socks are taken at random, one after the other, without replacement.
    Find the probability that both socks are white.2 marks
  3. A basketball player in Manila scores each free throw with probability 0.70.7, independently of her other throws. She takes three free throws.
    Find the probability that she scores exactly two of the three throws.3 marks
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Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).