IGCSE Maths · Area 8 · Probability

Introduction to Probability

Probability puts a number on how likely something is, and that number always lies between 0 and 1. You need the scale, the fraction of favourable outcomes over total outcomes, the complement rule for an event not happening, and a systematic way of listing outcomes so that nothing is missed. Most marks here are lost by dividing the wrong way round, by using the wrong total on the bottom of the fraction, or by forgetting to subtract from 1.

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Syllabus coverage

  • Understand and use the probability scale from 0 to 1
  • Calculate the probability of a single event
  • Understand that the probability of an event not occurring is 1 minus the probability that it occurs
  • Give probabilities as a fraction, decimal or percentage
  • Use information from tables, graphs or Venn diagrams (limited to two sets) to find probabilities
  • Extended only: understand and use the notation P(A) for the probability of A, and P(A') for the probability of not A
  • Calculate the probability of combined events using sample space diagrams, Venn diagrams and tree diagrams (Core: with replacement; Extended: with or without replacement)

Part of the IGCSE Maths syllabus 0580.

The probability scale and the sample space for two diceimpossible0unlikely1/4even chance1/2likely3/4certain1P = 0 means impossible and P = 1 means certain; every probability lies between them.Sample space diagram for two fair dicefirst die123456123456234567345678456789567891067891011789101112second dieThe 36 cells are all equally likely. The six shaded cells total 7, so P(total = 7) = 6/36 = 1/6.The smallest total is 2 (1 + 1) and the largest is 12 (6 + 6).
The probability scale from 0 to 1, and the 36 equally likely outcomes of two dice with the six ways of scoring 7 shaded.

The probability scale from 0 to 1

Probability is a measure of how likely an event is, and the scale runs from 0 to 1. A probability of 0 means the event cannot happen at all; a probability of 1 means it is certain to happen. Everything else sits in between, with 12 - that is 0.5, or 50% - marking an even chance.

A probability is never negative and never bigger than 1. If you work out an answer such as 1.4 or −0.2, you have divided the wrong way round, and the check costs you two seconds.

Cambridge accepts the answer as a fraction, a decimal or a percentage, and a mark scheme usually accepts any of the three. 34, 0.75 and 75% are the same probability written three ways. Write the form the question asks for, and where it asks for nothing in particular, a fraction in its simplest form is never wrong.

Position on the scaleWhat it meansExample
0Impossible - it cannot happenRolling a 7 on an ordinary six-sided die
14Unlikely, but possibleGuessing the right answer to a question with four options
12An even chanceA fair coin landing on heads
34LikelyTaking a red counter from a bag of 3 red and 1 blue
1Certain - it must happenRolling a number less than 7 on a six-sided die
Check every probability answer against the scale before you move on. Below 0 or above 1 always means the division is upside down.

Equally likely outcomes: favourable over total

When every outcome is equally likely, the probability of an event is the number of outcomes that count as the event, divided by the total number of possible outcomes. Roll an ordinary die and there are six outcomes, all equally likely. The probability of rolling a 4 is 16, because one outcome out of the six counts.

'Favourable' means the outcomes the question asks about, not outcomes that are good. If a bag holds 7 red counters and 3 blue ones, the probability of red is 710: the 7 counts, and the 10 on the bottom is the total number of counters in the bag.

The method needs the outcomes to be equally likely, and that has to be true for a reason - because the die is fair, or because the spinner has equal sectors, or because each counter is equally likely to be picked. A biased die still has six possible outcomes, but they are not equally likely, so counting them tells you nothing at all.

  • Fair six-sided die: the probability of a six is 16, and the probability of an odd score is 36=12
  • Bag of 7 red and 3 blue counters: the probability of red is 710 = 0.7 = 70%
  • Standard pack of 52 cards: the probability of a heart is 1352=14
The denominator is the total number of outcomes, not the number of outcomes you do not want. That single slip costs more marks in this topic than any other.

The complement: the probability of something not happening

For any event, either it happens or it does not, so those two probabilities must add up to 1. That gives the complement rule: the probability of an event not occurring is 1 minus the probability of it occurring.

If the probability that a counter is blue is 0.8, the probability that it is not blue is 1−0.8=0.2. If the probability of a six is 16, the probability of not a six is 1−16=56. In percentages, 1−75%=25%. The answer always comes out as the same kind of number you started with.

The complement is the fastest route through any question containing 'at least one'. The opposite of 'at least one blue' is 'no blue at all', and working out the probability of none is usually far easier than counting the cases with one, two or three blues.

Extended candidates write the complement as P(A′), read as the probability of not A, alongside P(A) for the probability of A. Core candidates do not need the notation, but the subtraction is identical.

  • P(blue)=0.8, so the probability of not blue is 1−0.8=0.2
  • P(six)=16, so the probability of not a six is 56
  • The complement of 'at least one blue' is 'no blue at all'
The two answers must add to 1. Write both down and check the sum, because the check catches an arithmetic slip before the examiner does.

Listing outcomes and sample space diagrams

A sample space is the list of everything that can happen. For one die it is 1, 2, 3, 4, 5, 6. For two dice a sample space diagram lays the outcomes out in a table, which gives 36 equally likely outcomes - not 11 totals. The totals from 2 to 12 are not equally likely, however tempting they look as a list.

Work systematically: put the score on the second die down the side and the score on the first die across the top, then fill in the cells row by row. Systematic listing is worth the thirty seconds even when you think you can see the answer, because the method mark counts the outcomes and one omitted cell loses it.

Once the diagram is drawn, counting is all that is left. A total of 7 appears in 6 of the 36 cells, so its probability is 636=16. A total of 12 appears once, in the cell where both dice show 6, so P(12)=136 and the probability of not 12 is 3536.

Die 2 down, Die 1 across123456
1234567
2345678
3456789
45678910
567891011
6789101112
Count cells in the grid, never totals in a list. 7 is six times as likely as 12, even though both are single totals between 2 and 12.

Combined events: two things happening

A combined event is two or more things happening, such as two coins, two counters, or a counter and a die. When the outcomes are equally likely and the events do not affect each other, multiply: the probability of A and B is P(A)×P(B). Two tosses of a fair coin give heads followed by heads with probability 12×12=14.

Where a counter is taken, replaced and a second one taken, the bag is back to how it started, so the second fraction is identical to the first. From a bag of 3 red and 2 blue counters, the probability that both draws are red is 35×35=925. The Extended paper also sets these questions without replacement, where the second fraction changes: 35×24=310.

Questions with 'at least one' in them are complement questions again. The probability of at least one blue in the two draws above is 1−925=1625, because the only alternative to at least one blue is no blue at all.

A tree diagram draws the whole thing out: outcomes at the end of the branches, probabilities beside the branches, and multiply along any path to get the probability of that combination. The probabilities of all the paths add up to 1, which is the check on your arithmetic.

Independence is what allows you to multiply. Putting the counter back is what keeps the second draw independent of the first.

Probabilities from tables, graphs and Venn diagrams

Not every question hands you the counts in a sentence. A two-way table gives them row by row, and the number you need on the bottom of the fraction is the total for the group the question is about. Read the row totals, the column totals and the grand total before you write anything.

A Venn diagram does the same job with two sets. The number in both sets sits in the overlap, and the number outside both circles still belongs to the universal set, so it belongs in the denominator as well. With 30 students, 12 playing football, 10 playing hockey and 8 playing neither, the probability that a student chosen at random plays football is 1230=25, not 1222.

Read the last line of the question carefully. 'A student chosen at random from those who play hockey' changes the denominator to 10, and the same table then gives a completely different answer.

Owns a bikeOwns a scooter: yesOwns a scooter: noTotal
Yes253560
No152540
Total4060100
From that table, the probability that a student chosen at random owns a bike is 60100=35, and the probability that a student owns neither is 25100=14.

Choosing the form of your answer

A probability is a number, and the same number can be written as a fraction, a decimal or a percentage. 38 = 0.375 = 37.5%. The marks are in the value, not the notation, but a fraction should be in its simplest form, so 636 is written 16 and 36 is written 12.

Where a question asks for a decimal, divide exactly when you can. 18=0.125 is exact, while 16=0.1666… is not, so write 0.167 to three decimal places if the question asks for a rounded answer - and keep the fraction if it does not.

Two checks finish the job. Every probability lies between 0 and 1, and the probabilities of all the possible outcomes add up to 1. If a spinner's three colours have probabilities 0.3, 0.45 and 0.15, the sum is 0.9, so something is missing - and saying so is worth a mark when the question asks whether the figures can be right.

  • 38=0.375=37.5%
  • 636 simplifies to 16
  • 0.3+0.45+0.15=0.9, so those three probabilities cannot be the whole story

Key terms you must be able to define

Probability
A number between 0 and 1 that measures how likely an event is: the number of favourable outcomes divided by the total number of equally likely outcomes.
Event
Something that may or may not happen, such as 'the die lands on a six'.
Outcome
One of the possible results of an experiment. Rolling a 3 is one outcome of rolling a die.
Equally likely
Outcomes are equally likely when each has the same chance of occurring, as with a fair die or a spinner with equal sectors.
Probability scale
The scale from 0 to 1 on which every probability sits: 0 is impossible and 1 is certain.
Impossible
An event with probability 0: it cannot happen.
Certain
An event with probability 1: it must happen.
Even chance
A probability of one half, or 0.5, or 50%: the event is as likely to happen as not.
Complement
The event that A does not happen. Its probability is 1 minus the probability of A.
P(A)
Extended notation for the probability of event A.
P(A')
Extended notation for the probability that event A does not happen, equal to 1 minus P(A).
Sample space
The set of all the possible outcomes of an experiment. For one die it is 1, 2, 3, 4, 5, 6.
Sample space diagram
A table of all the outcomes of two events, such as the 36 totals from rolling two dice.
Fair
A die, coin or spinner is fair when every outcome is equally likely.
Biased
Not fair: some outcomes are more likely than others.
Random
Every outcome is possible and you cannot predict which will occur, though each outcome has a fixed probability.
Theoretical probability
A probability worked out from equally likely outcomes rather than measured in an experiment.
With replacement
The object is put back before the next one is taken, so the probabilities for the second draw are unchanged.
Independent events
Events where the outcome of one does not change the probability of the other.
Trial
One run of an experiment, such as one roll of a die or one spin of a spinner.

In context

Cambridge sets 0580 in real situations - a recipe, a bank statement, a map, a garden, a graph of a car's journey. These show how the mathematics appears in a question, then you write your own working for the numbers you are given.

One fair die

A fair six-sided die is rolled once. There are six equally likely outcomes, so the probability of a 5 is 16 and the probability of not a 5 is 1−16=56. The two answers add to 1, which is the check that the complement has been done correctly.

Counters in a bag

A bag holds 7 red, 5 blue and 8 green counters, which is 20 in total. A counter is taken at random. The probability of blue is 520=14=0.25=25%, and the probability of not blue is 1−0.25=0.75.

A standard pack of cards

A pack holds 13 cards in each of four suits, so the probability of a heart is 1352=14. There are 4 kings, so the probability of a king is 452=113, and the probability of not a king is 4852=1213.

Two dice and the total

Two fair dice are rolled and the two scores are added. There are 6×6=36 equally likely outcomes. A total of 7 comes from (1, 6), (2, 5), (3, 4), (4, 3), (5, 2) and (6, 1), so the probability is 636=16. A total of 12 comes from (6, 6) alone, so its probability is 136.

Two counters with replacement

A bag holds 3 red and 2 blue counters. A counter is taken, its colour noted, and it is put back. A second counter is then taken. Both draws have the same probabilities, so the probability of red followed by red is 35×35=925, and the probability of at least one blue is 1−925=1625.

Flashcards

Click a card to flip it. Mark honestly — the tracker uses this.

Q1What is the probability of an impossible event, and of a certain one?
Impossible is 0; certain is 1. Every other probability lies between them.
Q2A fair six-sided die is rolled. What is the probability of a 6?
16, because there are six equally likely outcomes and one of them is a 6.
Q3A fair six-sided die is rolled. What is the probability of not a 6?
1−16=56. The two probabilities add to 1.
Q4How do you find the probability of an event not happening?
Subtract the probability of the event from 1.
Q5The probability that a counter is blue is 0.35. What is the probability that it is not blue?
0.65, because 1−0.35=0.65.
Q6Write 38 as a decimal and as a percentage.
0.375 and 37.5%.
Q7Write 0.4 as a fraction in its simplest form.
25, which is also 40%.
Q8A bag holds 5 red and 3 blue counters. What is the probability of red?
58. The denominator is the total number of counters, 8.
Q9How many equally likely outcomes are there when two dice are rolled?
36, because 6×6=36. The eleven possible totals are not equally likely.
Q10Two fair dice are rolled. What is the probability that the total is 7?
636=16. Six of the 36 outcomes give a total of 7.
Q11Two fair dice are rolled. What is the probability that the total is 12?
136, because only (6, 6) gives 12.
Q12A standard pack has 52 cards. What is the probability of taking a heart?
1352=14.
Q13A bag holds 3 red and 2 blue counters. A counter is taken, replaced, and a second is taken. What is the probability that both are red?
35×35=925, because the replacement keeps the second probability the same.
Q14Which is more likely, a probability of 0.4 or of 45%?
45%, because 45% is 0.45 and 0.45 is greater than 0.4. Write both in the same form before comparing.
0 of 14 marked as known

Exam-style questions

7 questions, 15 marks. Write your answer, then reveal the mark scheme and tick each point you actually made. Answering honestly here is what makes the rest of the site useful.

Write downAO11 mark
A fair six-sided die is rolled once. Write down the probability that it lands on a 5. Give your answer as a fraction.
Write a number, a fraction such as 3/4, or an expression such as 3x+2.

Mark scheme — tick each point you actually made

  • B116, because one of the six equally likely outcomes is a 5not checked yet
Examiner tip: 'Write down' means no working is needed and there is one mark. Six equally likely outcomes, one of which is a 5, gives 16.
CalculateAO12 marks
A bag contains 5 red, 3 blue and 2 green counters. A counter is taken at random. Work out the probability that the counter is blue, and hence the probability that it is not blue. Give each answer as a fraction.
Write a number, a fraction such as 3/4, or an expression such as 3x+2.

Mark scheme — tick each point you actually made

  • M1
  • A1310 for blue and 1−310=710 for not bluenot checked yet
Examiner tip: The denominator is all 10 counters, not just the blue ones. 'Hence' is the signal to use the complement: subtract the first answer from 1.
CalculateAO23 marks
In a class of 30 students, 12 play football and 10 play hockey. No student plays both games, and 8 students play neither game. A student is chosen at random. Work out the probability that the student plays football or hockey. Give your answer as a fraction in its simplest form.
Write a number, a fraction such as 3/4, or an expression such as 3x+2.

Mark scheme — tick each point you actually made

  • M1
  • M1
  • A11115not checked yet
Examiner tip: The 8 who play neither are still members of the class, so the denominator is 30. Simplify at the end: 2230=1115.
CalculateAO12 marks
The probability that a counter taken from a bag is blue is 0.8. Work out the probability that the counter is not blue. Give your answer as a percentage.
Write a number, a fraction such as 3/4, or an expression such as 3x+2.

Mark scheme — tick each point you actually made

  • M1
  • A120%not checked yet
Examiner tip: The complement is 1 minus the probability, and the question names the form, so 0.2 on its own does not answer the question asked. 0.2=20%.
CalculateAO22 marks
Two fair six-sided dice are rolled and the two scores are added. Work out the probability that the total score is 7. Give your answer as a fraction in its simplest form.
Write a number, a fraction such as 3/4, or an expression such as 3x+2.

Mark scheme — tick each point you actually made

  • M1
  • A1636=16not checked yet
Examiner tip: There are 36 outcomes, not 11 totals. The method mark is for counting the six ways in a sample space diagram, the accuracy mark for the simplified fraction.
CalculateAO23 marks
A bag contains 3 red counters and 2 blue counters. A counter is taken at random, its colour is noted, and the counter is put back in the bag. A second counter is then taken at random. Work out the probability that both counters are red.
Write a number, a fraction such as 3/4, or an expression such as 3x+2.

Mark scheme — tick each point you actually made

  • M1
  • M1
  • A135×35=925not checked yet
Examiner tip: 'Both' means multiply. Because the counter is put back, the second fraction is unchanged at 35. Without replacement it would be 24, which is the Extended version of this question.
ExplainAO12 marks
Explain why the probability of an event can never be greater than 1.

Mark scheme — tick each point you actually made

  • B1
  • B1
Examiner tip: Two marks, two ideas: the fraction argument, that the top cannot exceed the bottom, and the meaning of 1 as certainty. 'Because 1 is the maximum' on its own scores nothing.

Exam technique for this topic

  • Decide what goes on the bottom of the fraction before you write anything. It is the total number of equally likely outcomes in the group the question is about: all the counters, all the students in the class, or the 36 outcomes of two dice.
  • Answer in the form the question names. If it asks for a decimal, do not leave a fraction; if it asks for a percentage, write the per cent sign; if it names no form, a fraction in its simplest form is never wrong.
  • Check that your answer lies between 0 and 1, and that the probabilities of all the possible outcomes add up to 1. Both checks take seconds and between them catch the two commonest errors in the topic.
  • For 'at least one' questions, work out the probability of none and subtract from 1. Counting the cases one at a time takes longer and loses marks through omission.
  • Show the sample space or the fraction you used. A probability question is usually worth 2 or 3 marks, and the method mark is awarded for the fraction, not for the final number.

Why students lose marks here

A student wroteThe probability of rolling a 6 on a fair die is 15, because five of the six faces are not a 6.
Why it loses marksThe denominator is the total number of outcomes, which is 6, not the number of outcomes you are not interested in. Only the numerator counts the faces that give the event.
The answer that scoresThere are six equally likely outcomes and one of them is a 6, so the probability is 16. The probability of not a 6 is the 56, and the two add to 1.
A student wroteThe probability that a counter is blue is 0.8, so the probability that it is not blue is 1.8.
Why it loses marksThe complement is 1 minus the probability, not 1 plus it. Adding gives an answer above 1, which is impossible for any probability.
The answer that scores1−0.8=0.2, so the probability that the counter is not blue is 0.2, or 20%.
A student wroteWhen a die is rolled the outcomes are 'a six' and 'not a six', so each has probability 12.
Why it loses marksTwo outcomes are only equally likely if they cover the same number of equally likely results. 'Not a six' covers five faces of the die, so it is five times as likely as a six.
The answer that scoresThe probability of a six is 16 and the probability of not a six is 56. Counting outcomes only works when they are equally likely.
A student wroteTwo dice are rolled, and the probability that the total is 7 is 111, because the totals run from 2 to 12 and 7 is one of eleven values.
Why it loses marksThe eleven totals are not equally likely. A total of 7 can happen in 6 different ways, while a total of 2 happens only one way, so counting the totals as if they were outcomes is wrong.
The answer that scoresThere are 36 equally likely outcomes. Six of them give a total of 7, so the probability is 636=16.
A student wroteTwo fair coins are tossed, and the probability of two heads is 13, because the possibilities are two heads, two tails, or one of each.
Why it loses marksThose three descriptions are not equally likely. 'One of each' covers two different outcomes, heads then tails and tails then heads, so it is twice as likely as either of the others.
The answer that scoresThe four equally likely outcomes are HH, HT, TH and TT, so the probability of two heads is 14.