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Basic ProbabilityCambridge IGCSE Maths: Revision notes

Section 1

What is the probability scale?

Probability measures how likely an event is to happen, on a scale from 0 (impossible) to 1 (certain). Probabilities can be written as fractions, decimals or percentages.

  • P=0P = 0: the event cannot happen
  • P=1P = 1: the event is certain to happen
  • P=0.5P = 0.5: the event is equally likely to happen or not happen
Key termsprobability scale
Exam tip

Always check your final probability is between 0 and 1 — if it isn't, you've made an arithmetic error.

Section 2

How do I calculate the probability of a single event?

For equally likely outcomes:

P(event)=number of favourable outcomestotal number of possible outcomesP(\text{event}) = \frac{\text{number of favourable outcomes}}{\text{total number of possible outcomes}}

Example: rolling a fair six-sided die, P(rolling a 4)=16P(\text{rolling a 4}) = \frac{1}{6}.

Probabilities can be given as a fraction, decimal or percentage — always give the simplest equivalent form unless told otherwise.

Key termsfavourable outcomepossible outcome
Example

A bag has 5 red and 3 blue balls. P(blue)=38P(\text{blue}) = \frac{3}{8}.

Section 3

What is the complement of an event?

The complement of an event is 'the event not happening'. Since all outcomes must add to 1:

P(event not occurring)=1−P(event occurring)P(\text{event not occurring}) = 1 - P(\text{event occurring})

Extended candidates use notation P(A)P(A) for the event and P(A′)P(A') for its complement, so P(A′)=1−P(A)P(A') = 1 - P(A).

Key termscomplement
Example

If P(rain tomorrow)=0.3P(\text{rain tomorrow}) = 0.3, then P(no rain)=1−0.3=0.7P(\text{no rain}) = 1 - 0.3 = 0.7.

Section 4

What do 'fair', 'bias' and 'random' mean?

  • A fair object (coin, die, spinner) gives every outcome an equal chance
  • A biased object does not give every outcome an equal chance — some outcomes are more likely than others
  • A random process is one where the outcome cannot be predicted with certainty in advance

These words are commonly used in exam wording, so recognise them precisely: a 'biased die' means you cannot assume 16\frac{1}{6} for each number.

Key termsfairbiasrandom
Common mistake

Assuming equal probabilities for a die or spinner described as 'biased' — you must use the given probabilities or frequencies instead.

Must Know

  • Probability scale runs from 0 (impossible) to 1 (certain)
  • P(event)=favourable outcomestotal outcomesP(\text{event}) = \frac{\text{favourable outcomes}}{\text{total outcomes}} for equally likely outcomes
  • P(not event)=1−P(event)P(\text{not event}) = 1 - P(\text{event}), written P(A′)=1−P(A)P(A') = 1 - P(A)
  • Probabilities can be fractions, decimals or percentages
  • 'Fair' means equally likely outcomes; 'biased' means outcomes are not equally likely
  • All probabilities in a full sample space must sum to 1

That's the notes covered.

Carry on to the next subtopic.