Edexcel GCSE Maths coverage

Probability

Section P
9 spec leafs

Notes and three levels of exam-style practice for each registered specification leaf in this section.

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P1

Record, describe and analyse the frequency of outcomes of probability experiments using tables and frequency trees

  • A frequency table records how often each outcome occurs; the frequencies should add to the total number of trials.
  • On a frequency tree, subtract from the parent frequency to complete a missing branch, then check that the two child branches add back to their parent.
  • For example, if 7070 trials split into frequencies 4343 and 2727, and 1818 of the first group succeed, the other frequency in that group is 4318=2543-18=25.
  • Do not put probabilities on a frequency tree when frequencies are requested, and do not compare raw frequencies when the group totals are different.

Tier 1 · Easy

2 marks
ORIGINAL

A spinner is used 3030 times. It lands on red 1818 times and on blue 1212 times. Complete a frequency table for the two outcomes and work out the relative frequency of red.

Tier 2 · Standard

3 marks
ORIGINAL

A frequency tree describes 8080 visits to a kiosk. On 5252 visits a hot drink is chosen and on the remaining visits a cold drink is chosen. A snack is also bought on 3131 hot-drink visits and on 77 cold-drink visits. Complete all terminal frequencies and work out the percentage of visits on which a snack is bought.

Tier 3 · Hard

5 marks
ORIGINAL

Two weeks of trials are combined. In week 1, 7272 of 120120 trials succeed; 4545 successful trials and 1818 unsuccessful trials are fast. In week 2, 9999 of 180180 trials succeed; 6666 successful trials and 2727 unsuccessful trials are fast. Construct a combined frequency table for success or failure against fast or not fast. Compare the proportions that are fast in the two outcome groups.

P2

Apply ideas of randomness, fairness and equally likely events to calculate expected outcomes of multiple future experiments

  • Randomness means that an individual result is uncertain even when the long-run pattern can be predicted.
  • For equally likely outcomes, calculate an event probability by dividing favourable outcomes by total outcomes, then use expected frequency =n×p=n\times p for nn future trials.
  • A fair game gives participants equal chances or has zero expected gain after any cost; fairness must be justified from the probabilities and rewards.
  • An expected frequency is a long-run prediction, not a guarantee that exactly that many outcomes will occur.

Tier 1 · Easy

2 marks
ORIGINAL

A fair six-sided die is rolled 240240 times. Work out the expected number of rolls on which the score is greater than 44.

Tier 2 · Standard

3 marks
ORIGINAL

A fair spinner has four equal sectors labelled 11, 11, 22 and 33. It is spun 600600 times. Work out the expected total of all the scores.

Tier 3 · Hard

5 marks
ORIGINAL

A box contains 33 green, 22 yellow and 11 red token. A token is chosen at random and replaced. A player receives £4\pounds4 for green, £1\pounds1 for yellow and nothing for red. The entry fee is £2.20\pounds2.20. Work out the organiser's expected profit from 900900 plays and decide whether the game is fair to the player.

P3

Relate relative expected frequencies to theoretical probability, using appropriate language and the 0-1 probability scale

  • Probability lies from 00 to 11: 00 means impossible, 11 means certain, and values nearer 11 describe more likely events.
  • Relative frequency is observed frequency divided by number of trials; theoretical probability comes from a mathematical model of the outcomes.
  • If a theoretical probability is pp, the relative frequency from many unbiased trials is expected to be close to pp, although it will usually not equal it exactly.
  • Do not describe an event with probability 0.50.5 as certain, and do not treat a small experimental difference as proof that a theoretical model is wrong.

Tier 1 · Easy

1 mark
ORIGINAL

Place these events in order from least likely to most likely: event A has probability 0.720.72, event B has probability 14\dfrac{1}{4}, and event C has probability 0.50.5.

Tier 2 · Standard

3 marks
ORIGINAL

An outcome occurs 8484 times in 140140 trials. Its theoretical probability is 58\dfrac{5}{8}. Work out the relative frequency and the expected frequency in 560560 further trials. Comment on the experimental result.

Tier 3 · Hard

4 marks
ORIGINAL

A model says that a device flashes with probability 0.50.5 on each trial. In a short run it flashes 4141 times in 8080 trials. After 500500 trials in total it has flashed 247247 times. Calculate both relative frequencies and decide which result gives stronger evidence about the model.

P4

Apply the property that the probabilities of an exhaustive set of outcomes sum to one; apply the property that the probabilities of an exhaustive set of mutually exclusive events sum to one

  • An exhaustive set covers every possible outcome, so its probabilities have total 11.
  • Mutually exclusive events cannot occur together; for such events, add their probabilities to find the probability that any one occurs.
  • The complement rule is P(not A)=1P(A)P(\text{not }A)=1-P(A), which treats AA and not AA as an exhaustive, mutually exclusive pair.
  • Do not add probabilities directly when events can overlap; first separate the overlap or subtract it once using P(AB)=P(A)+P(B)P(AB)P(A\cup B)=P(A)+P(B)-P(A\cap B).

Tier 1 · Easy

1 mark
ORIGINAL

The probability that a parcel arrives early is 0.370.37. Work out the probability that it does not arrive early.

Tier 2 · Standard

2 marks
ORIGINAL

A trial has four mutually exclusive outcomes A, B, C and D. Their probabilities are 0.280.28, 0.410.41, xx and 0.190.19 respectively. Work out xx.

Tier 3 · Hard

4 marks
ORIGINAL

For two events A and B, P(A)=0.58P(A)=0.58, P(B)=0.47P(B)=0.47 and P(AB)=0.21P(A\cap B)=0.21. Work out the probability that neither A nor B occurs.

P5

Understand that empirical unbiased samples tend towards theoretical probability distributions, with increasing sample size

  • An empirical distribution is built from observed relative frequencies, whereas a theoretical distribution is predicted from a probability model.
  • With unbiased, independent trials, increasing the sample size usually makes empirical proportions settle nearer their theoretical probabilities.
  • For a fair die, a large sample should give each score a relative frequency near 1/61/6, but exact equality is not required.
  • A larger sample reduces random variation but does not repair a biased sampling method or guarantee a closer result on every single run.

Tier 1 · Easy

1 mark
ORIGINAL

A fair coin gives a relative frequency of heads of 0.640.64 after 2525 tosses. Explain what is likely to happen to the relative frequency as many more unbiased tosses are made.

Tier 2 · Standard

3 marks
ORIGINAL

A spinner is designed to land on green with probability 0.30.3. It lands on green 88 times in 2020 spins and 6363 times in 200200 spins. Compare the two empirical probabilities with the theoretical probability.

Tier 3 · Hard

4 marks
ORIGINAL

A fair die is tested. In the first 6060 rolls, a six appears 1616 times. After 600600 rolls in total, a six has appeared 108108 times. A student says the die must be biased because neither relative frequency equals 16\dfrac{1}{6}. Evaluate the student's claim.

P6

Enumerate sets and combinations of sets systematically, using tables, grids, Venn diagrams and tree diagrams

  • Systematic enumeration lists every permitted outcome once, using a consistent order so omissions and duplicates are visible.
  • Use a table or grid for two varying quantities, a tree for successive choices, and a Venn diagram for membership of overlapping sets.
  • For two sets, place the intersection first, then the parts belonging only to each set, and finally the values outside both sets.
  • Do not assume all listed outcomes are equally likely; enumeration identifies possibilities, while probability also depends on the model.

Tier 1 · Easy

2 marks
ORIGINAL

A uniform is made from one of two shirts, blue or white, and one of three ties, red, silver or green. List all possible shirt-and-tie combinations.

Tier 2 · Standard

4 marks
ORIGINAL

The universal set is the integers from 11 to 2020. Set A contains the multiples of 33 and set B contains the factors of 1818. Enumerate the four regions of a Venn diagram for A and B.

Tier 3 · Hard

4 marks
ORIGINAL

A three-digit number is formed from three different digits chosen from 11, 22, 33 and 44. Enumerate all the numbers that are greater than 230230 and even. How many of these numbers do not contain the digit 11?

P7

Construct theoretical possibility spaces for single and combined experiments with equally likely outcomes and use these to calculate theoretical probabilities

  • A possibility space displays every combined outcome, often as ordered pairs in a grid.
  • When all elementary outcomes are equally likely, probability is favourable outcomes divided by the total number of outcomes in the space.
  • For two fair choices with mm and nn outcomes, a complete rectangular space has mnmn ordered pairs before restrictions are applied.
  • Do not count unordered pairs when the experiment records a first and second result; (a,b)(a,b) and (b,a)(b,a) are different ordered outcomes unless the context says otherwise.

Tier 1 · Easy

2 marks
ORIGINAL

A fair coin is tossed and a fair spinner labelled 11, 22, 33 is spun. Write the six outcomes as ordered pairs and find the probability of getting a head and an even number.

Tier 2 · Standard

3 marks
ORIGINAL

Spinner A has equal sectors labelled 11, 22, 33. Spinner B has equal sectors labelled 11, 22, 33, 44. Construct a possibility space and find the probability that the two scores have a sum greater than 55.

Tier 3 · Hard

4 marks
ORIGINAL

Two different cards are chosen in order from cards labelled 11, 22, 33, 44 and 66. The first card is the tens digit and the second is the units digit. Construct the theoretical possibility space and find the probability that the two-digit number is divisible by 33.

P8

Calculate the probability of independent and dependent combined events, including using tree diagrams and other representations, and know the underlying assumptions

  • For events along one route through a tree, multiply branch probabilities; for alternative mutually exclusive routes, add their products.
  • Independent events leave later probabilities unchanged, while dependent events change later probabilities because earlier outcomes affect the situation.
  • Without replacement, update both numerator and denominator after each draw; with replacement, the original probabilities repeat.
  • Do not multiply probabilities without checking the assumptions: identical branch probabilities require independence or a replacement mechanism.

Tier 1 · Easy

2 marks
ORIGINAL

A fair coin is tossed and an independent spinner lands on red with probability 35\dfrac{3}{5}. Work out the probability of a head and red.

Tier 2 · Standard

3 marks
ORIGINAL

A bag contains 44 blue counters and 33 amber counters. Two counters are chosen at random without replacement. Work out the probability that both counters are blue.

Tier 3 · Hard

5 marks
ORIGINAL

A bag contains 55 black and 33 white counters. Three counters are chosen at random without replacement. Work out the probability that exactly two are black. State why the branch probabilities change after each choice.

P9

Calculate and interpret conditional probabilities through representation using expected frequencies with two-way tables, tree diagrams and Venn diagrams [Higher only]

  • A conditional probability restricts the sample space to outcomes satisfying the stated condition.
  • In a two-way table or Venn diagram, calculate P(AB)P(A\mid B) by dividing the frequency in both AA and BB by the total frequency in BB.
  • Expected frequencies can replace probabilities on a tree; after multiplying each branch by a common starting total, condition using the relevant terminal frequencies.
  • Do not divide by the overall total when a condition is given: the denominator must be the frequency of the conditioning event.

Tier 1 · Easy

2 marks
ORIGINAL

A two-way table records 6060 students. Of the 2424 who travel by bus, 99 arrive late. Find the probability that a randomly chosen bus traveller arrives late.

Tier 2 · Standard

4 marks
ORIGINAL

Of 500500 expected customers, 60%60\% are members. Of the members, 70%70\% order online. Of the non-members, 35%35\% order online. Use expected frequencies to find the probability that an online customer is a member.

Tier 3 · Hard

4 marks
ORIGINAL

In an expected-frequency Venn diagram for 240240 people, 138138 are in set A, 102102 are in set B and 5454 are in both sets. A person is chosen from those who are in exactly one of the sets. Find the conditional probability that the person is in A.