Practice Questions
IGCSE Mathematics: Probability — Practice Questions
Original exam-style practice questions with full worked answers on basic probability, relative and expected frequency, combined events and conditional probability for Cambridge IGCSE Mathematics 0580.
- Subject
- Mathematics
- Level
- IGCSE
- Topic
- Probability
- Author
- Marlbridge Academic Team
- Updated
- Reviewed by
- Sajawal Zahid (what this means)
Aligned to Cambridge IGCSE Mathematics (0580), For examination in 2025, 2026 and 2027. Official specification .
Syllabus page (what it covers and how it is assessed): Cambridge IGCSE Mathematics.
Syllabus points this page covers, with Core and Extended
0580
- 8.1 Introduction to probability · Core and Extended
- 8.2 Relative and expected frequencies · Core and Extended
- 8.3 Probability of combined events · Core and Extended
- 8.4 Conditional probability · Extended only
"Core and Extended" means part of that syllabus point is Extended only. The page's own tier notes say which part.
Found an error? Report a correction.
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These are original questions written for Marlbridge, for revision and practice on this content. They are not reproduced past-paper questions, and they do not replicate the exam’s exact structure, question count or mark tariffs — examination boards hold copyright in their own papers. Use these alongside the official past papers available free from your board.
Related: Probability revision notes
Tier note: items marked (Extended) are Extended only in the 0580 syllabus: combined events without replacement (E8.3; Core combined events are with replacement only) and conditional probability (E8.4). All other questions use Core content. Probability notation such as P(A) is Extended (E8.1); Core answers do not need it.
Questions
1. A fair six-sided dice is rolled once. State the probability that the score is a prime number. [1]
2. A biased coin is tossed 200 times and lands on heads 118 times.
(a) Calculate the relative frequency of heads. [1] (b) The coin is tossed a further 50 times. Use the relative frequency from part (a) to estimate the expected number of heads in these 50 tosses. [2]
3. (Extended) A bag contains 5 red counters and 3 blue counters. Two counters are taken from the bag at random, one after the other, without replacement.
(a) Draw and label a tree diagram to show the possible outcomes and their probabilities. [3] (b) Calculate the probability that both counters are red. [2] (c) Calculate the probability that the two counters are different colours. [3]
4. (Extended) For two events A and B, P(A) = 0.3 and P(A and B) = 0.15. Find P(B | A), the probability of B given that A has occurred. [2]
5. (Extended) In a group of 40 students, 24 study French, 18 study Spanish, and 10 study both. A student is picked at random from those who study French. Find the probability that this student also studies Spanish. [3]
6. The probability that a biased dice lands on 6 is 0.15.
(a) Find the probability of not rolling a 6. [1] (b) The dice is rolled 300 times. Estimate the number of times a 6 is not rolled. [2]
7. A fair coin is tossed twice. Using a tree diagram approach, find the probability of getting exactly one head. [3]
8. A bag contains 5 red counters and 3 blue counters. A counter is taken at random and then replaced.
(a) Find the probability that it is blue. [1]
(b) This is done 40 times. Find the expected number of times a blue counter is taken. [1]
Answers
1. Prime scores on a dice are 2, 3, 5 — three out of six outcomes. P(prime) = 3/6 = ½ [1].
2. (a) Relative frequency = 118 ÷ 200 = 0.59 [1]. (b) Expected heads = 0.59 × 50 [1] = 29.5 [1].
3. (a) First pick: P(red) = 5/8, P(blue) = 3/8 [1]. Second pick (no replacement): from red first, P(red) = 4/7, P(blue) = 3/7; from blue first, P(red) = 5/7, P(blue) = 2/7 [2] — a fully labelled two-stage tree diagram showing these four branches. (b) P(both red) = 5/8 × 4/7 [1] = 20/56 = 5/14 [1]. (c) P(different colours) = P(R then B) + P(B then R) = (5/8 × 3/7) + (3/8 × 5/7) [2] = 15/56 + 15/56 = 30/56 = 15/28 [1].
4. P(B | A) = P(A and B) ÷ P(A) [1] = 0.15 ÷ 0.3 = 0.5 [1].
5. Of the 24 who study French, 10 also study Spanish [1]. P(Spanish | French) = 10 ÷ 24 [1] = 5/12 [1].
6. (a) P(not 6) = 1 − P(6) = 1 − 0.15 = 0.85 [1], since the probabilities of an outcome and its complement always sum to 1. (b) Expected number of “not 6” rolls = 0.85 × 300 [1] = 255 [1].
7. Each toss is independent, so the probability stays 0.5 for heads and 0.5 for tails on both branches, unlike a without-replacement problem [1]. Exactly one head happens via two paths: heads-then-tails or tails-then-heads [1]. P(exactly one head) = (0.5 × 0.5) + (0.5 × 0.5) = 0.25 + 0.25 = 0.5 [1].
8. (a) 3/8 [1]. (b) 40 × 3/8 = 15 [1].
Common mistake: writing the probability as 3/5 (blue compared with red) instead of 3/8 (blue out of all the counters).
Where marks are usually lost
- Confusing theoretical probability (counting outcomes) with relative frequency (an experimental estimate from data) — they are related but not automatically equal, and a question about one is not answered with the other.
- Multiplying the wrong branch probabilities together on a tree diagram, or forgetting that probabilities without replacement change on the second branch.
- Adding two combined-event probabilities when they should be multiplied (independent/sequential events), or the reverse when combining two mutually exclusive outcomes.
- Not simplifying a fraction at the end, or giving a probability greater than 1 or as a ratio instead of a fraction/decimal.
- In conditional probability, dividing by the wrong total — P(B | A) means restricting attention to the cases where A has already happened, not the whole sample space.
Examiner report insight
- On a Venn diagram, shading the intersection (A n B) by default is a common habit – check what the question actually asked for before shading, since the intersection is only one of many possible regions.
- Set-notation questions built from
n(...)(a numerical count of elements) need the actual number of elements evaluated, not just a region shaded on a diagram – practise both skills separately. - Elements that belong only to the universal set – outside every named subset – are still part of the total and are easy to forget when completing a Venn diagram.
- The complement A’ is everything in the universal set U that is not in A – this includes the part of any other set B that lies outside A (B minus the A∩B overlap) and the region outside both A and B, but it excludes all of A, including the A∩B overlap itself (since A∩B is part of A). A common error wrongly includes A∩B in A’.
Source: Cambridge International, 0580 Mathematics Principal Examiner Report, June 2024 series, Papers 12, 13, 21, 22, 23, 31 (verified 2026-09-02).
Approaching probability questions
Before multiplying or adding anything, decide what kind of question is in front of you: a single event (count outcomes), a combined event across two or more stages (build a tree and multiply along branches), or a conditional probability (restrict to a smaller sample space first). Getting this classification right first is what determines whether the next step should be a multiplication, an addition, or a division – most errors on this topic come not from arithmetic mistakes but from applying the wrong one of these three operations to a correctly understood situation.
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Revision notes
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