Multiply along branches, add separate routes
What you will learn
Know the rule, then use it
These are the short notes. Read each one, then check you can use it in the worked example below.
Trial
One action in a probability experiment — e.g. one coin flip or one draw from a bag.
Branch
An arrow on a tree diagram showing one possible outcome and its probability.
Route (path)
A sequence of branches from start to finish — multiply along it to get the route probability.
Independent events
Two events where the first outcome does not affect the probability of the second.
Without replacement
An item drawn is not returned, so the total and counts change for the next draw.
Complementary probability
P(event) = 1 − P(event doesn't happen) — fastest for 'at least one' questions.
P(outcome A and then outcome B) = P(A) × P(B on second branch, which may depend on A).
P(event E) = sum of probabilities of all routes in which event E occurs. Only add probabilities of routes that qualify.
P(at least one success) = 1 − P(no successes). Often faster than listing all 'at least one' routes.
After removing one item, reduce the total by 1 and, if a specific type was removed, reduce that type's count by 1 too.Update every second-trial branch accordingly.
A bag contains 4 red counters and 3 blue counters. Two counters are drawn without replacement. Find P(one of each colour).
There are two successful routes: Red then Blue (RB) and Blue then Red (BR).
P(RB) = P(R first) × P(B second | R first) = × = .
P(BR) = P(B first) × P(R second | B first) = × = .
P(one of each) = + = = .
Build up to the hardest questions
Do them in order. If you miss a step, read the solution, then redo the question without looking.
DiagnosticrecallThe probability that it rains on any day is 0.3. What is the probability that it does not rain?
1 mark1 mintree-d1Show solution
The probability that it rains on any day is 0.3. What is the probability that it does not rain?
- 1.All probabilities for the outcomes of one trial must sum to 1.
- 2.P(no rain) = 1 − P(rain) = 1 − 0.3.
0.7
- B1: 0.7 (accept or any exact equivalent).
Subtracting from 100 (giving 97 or 70) because the student is thinking of percentages without converting, or subtracting from 10 and getting 9.7.
EasyprocedureA biased coin has P(Heads) = 0.6. The coin is flipped twice. Find P(two Heads).
2 marks2 minstree-e1Show solution
A biased coin has P(Heads) = 0.6. The coin is flipped twice. Find P(two Heads).
- 1.The flips are independent: the second probability is unaffected by the first.
- 2.Multiply along the HH route: P(HH) = 0.6 × 0.6.
- 3.P(HH) = 0.36.
0.36
- M1: recognises multiplication is needed: 0.6 × 0.6 seen.
- A1: 0.36.
Adding the probabilities along the route (0.6 + 0.6 = 1.2), or using P(H) = 0.6 only once instead of applying it twice.
MediumreasoningA spinner has P(red) = 0.4 and P(blue) = 0.6. It is spun twice. Find P(exactly one red).
3 marks3 minstree-m1Show solution
A spinner has P(red) = 0.4 and P(blue) = 0.6. It is spun twice. Find P(exactly one red).
- 1.Two routes give exactly one red: Red then Blue (RB) and Blue then Red (BR).
- 2.P(RB) = 0.4 × 0.6 = 0.24.
- 3.P(BR) = 0.6 × 0.4 = 0.24.
- 4.P(exactly one red) = 0.24 + 0.24 = 0.48.
0.48
- M1: correctly identifies both routes RB and BR (award for calculating either route correctly).
- M1: correctly calculates probability of one route as 0.24.
- A1: 0.48 (from correctly adding both routes).
Counting only one of the two successful routes (finding only RB or only BR but not both), giving 0.24 instead of 0.48.
HardreasoningA bag has 5 red and 3 blue counters. Two are drawn without replacement. Find P(at least one blue counter).
4 marks4 minstree-h1Show solution
A bag has 5 red and 3 blue counters. Two are drawn without replacement. Find P(at least one blue counter).
- 1.Use the complement: P(at least one blue) = 1 − P(no blue) = 1 − P(both red).
- 2.P(first red) = .
- 3.P(second red | first red) = (only 4 red remain from 7 counters).
- 4.P(both red) = × = = .
- 5.P(at least one blue) = 1 − = .
- M1: recognises complement strategy: 1 − P(both red) set up.
- M1: correct without-replacement probabilities and both seen.
- M1: correctly computes × = .
- A1: 1 − = .
Attempting to add all 'at least one blue' routes individually (BB, RB, BR) but using with-replacement probabilities of on every second branch instead of updating the counts.
Very Hardproblem solvingIn a box there are 6 chocolates: 4 dark and 2 milk. Three chocolates are chosen at random without replacement. Find the probability that the three chocolates include more dark than milk.
5 marks5 minstree-vh1Show solution
In a box there are 6 chocolates: 4 dark and 2 milk. Three chocolates are chosen at random without replacement. Find the probability that the three chocolates include more dark than milk.
- 1.The event 'more dark than milk' in three chocolates means: exactly 2 dark and 1 milk, OR exactly 3 dark and 0 milk.
- 2.P(3 dark) = × × = = .
- 3.P(2 dark, 1 milk): the milk chocolate can be in position 1, 2 or 3.
- 4.P(milk in position 1) = × × = = .
- 5.P(milk in position 2) = × × = = .
- 6.P(milk in position 3) = × × = = .
- 7.P(2 dark, 1 milk) = 3 × = .
- 8.P(more dark than milk) = + = .
- M1: identifies the two qualifying cases (3 dark, or 2 dark and 1 milk).
- M1: correctly computes P(3 dark) = using without-replacement fractions.
- M1: sets up at least one correct route for P(2 dark, 1 milk) using without-replacement fractions.
- M1: recognises and accounts for all three arrangements of 2 dark and 1 milk.
- A1: .
Forgetting that '2 dark, 1 milk' can occur in three different orders and counting only one arrangement, giving P = + = .
Grade 9 stretchproblem solvingA biased coin has P(Heads) = p. The coin is flipped twice. Given that P(exactly one head) = 0.42, find both possible values of p and explain in context which value is more plausible if the coin is described as 'slightly biased towards tails'.
6 marks6 minstree-g9Show solution
A biased coin has P(Heads) = p. The coin is flipped twice. Given that P(exactly one head) = 0.42, find both possible values of p and explain in context which value is more plausible if the coin is described as 'slightly biased towards tails'.
- 1.P(exactly one head) = P(HT) + P(TH) = p(1−p) + (1−p)p = 2p(1−p).
- 2.Set 2p(1−p) = 0.42 → 2p − 2p² = 0.42 → 2p² − 2p + 0.42 = 0.
- 3.Divide by 2: p² − p + 0.21 = 0.
- 4.Quadratic formula: p = (1 ± ) / 2 = (1 ± √0.16) / 2 = (1 ± 0.4) / 2.
- 5.p = 0.7 or p = 0.3.
- 6.Both are valid probabilities. 'Slightly biased towards tails' means P(Heads) < 0.5, so p = 0.3 is more plausible.
p = 0.3 or p = 0.7. For a coin biased towards tails, p = 0.3 is more plausible.
- M1: correctly forms P(exactly one head) = 2p(1−p).
- M1: sets up equation 2p(1−p) = 0.42 and rearranges to a quadratic.
- M1: correctly applies quadratic formula or factorises to find both roots.
- A1: both values p = 0.3 and p = 0.7 stated.
- A1: selects p = 0.3 with a valid contextual reason (tails bias means p < 0.5).
- A1 (communication): full clear explanation including the symmetry argument — p and 1−p give the same product, so two solutions are expected.
Giving only one of the two valid values, or selecting the wrong value when explaining the contextual interpretation.
Exam Techniqueexam trapA bag has 3 red and 2 blue balls. One ball is drawn, its colour noted, and it is NOT replaced. A second ball is then drawn. A student draws the following tree diagram and writes P(red second) = on both second-level red branches. Explain the error and give the two correct probabilities for red on the second draw.
3 marks3 minstree-et1Show solution
A bag has 3 red and 2 blue balls. One ball is drawn, its colour noted, and it is NOT replaced. A second ball is then drawn. A student draws the following tree diagram and writes P(red second) = on both second-level red branches. Explain the error and give the two correct probabilities for red on the second draw.
- 1.The error: after drawing a red ball first, there are only 2 red balls and 4 balls in total remaining.
- 2.The probability of red on the second draw depends on what happened first — so it cannot be the same on both branches.
- 3.If red was drawn first: P(red second) = = .
- 4.If blue was drawn first: P(red second) = .
- 5.These are conditional probabilities — the denominator changes because sampling is without replacement.
If red first: P(red second) = . If blue first: P(red second) = . The student incorrectly used the original probability on both branches.
- B1: identifies that the second-draw probabilities must change because sampling is without replacement.
- M1: states (or equivalent) as the correct probability of red on the second draw given red was drawn first.
- A1: states (or equivalent) as the correct probability of red on the second draw given blue was drawn first.
Using the original bag's probabilities ( and ) on every second-level branch rather than updating the counts after the first draw.
Switch between skills
Set a timer and attempt all four questions before opening any answers. This is closer to the way skills appear in a real paper.
1Tree diagrams - 2 marksSame bag. Find P(both blue).Mark answer
× = =
2Probability basics - 2 marksP(A) = 0.35. Find P(not A).Mark answer
0.65
3Relative frequency - 2 marksExpected frequency of an outcome with probability 0.4 in 250 trials.Mark answer
100
4Sample spaces and frequency trees - 3 marksP(different colours) when drawing twice with replacement from the bag above.Mark answer
2 × ( × ) = =
- I can recall the multiply-along / add-routes rule and explain why each operation is used at each stage.
- I can draw a complete tree diagram for two-stage experiments, ensuring each pair of branches sums to 1.
- I can correctly update second-stage probabilities in without-replacement problems by reducing both the total and the specific-colour count.
- I can apply the complement rule (1 − P(none)) to efficiently solve 'at least one' problems without listing every route.
- I can model an unfamiliar probability scenario — such as one involving a quadratic equation for an unknown probability — using the multiply-and-add structure of tree diagrams.
This guide follows the OCR GCSE Mathematics J560 specification. Practice questions are original Learnova questions shaped around official content and exam skills.