Probability: Tree Diagrams and Conditional Probability
An HSC/VCE-style study guide to multi-stage probability: the addition and multiplication rules, tree diagrams with and without…
- Difficulty
- Level 2 · Standard
- Time
- 25 min
A senior maths worksheet on discrete probability distributions: checking that a table is a valid distribution, finding unknown probabilities, calculating the expected value, variance and standard deviation, deciding whether a game is fair and building a distribution from coins and counters. Finishes with an extended problem on the daily profit of a market stall. Full working is given for every answer.
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Curriculum: Australian Curriculum. We show specific outcome codes only where they have been verified against the official curriculum document.
Completed: Discrete Random Variables and Expected Value
Ready for more? Move on to Year 12 Maths.
Year 11 students (typically ages 16–17) working on probability. It is pitched at level 3 · challenge; an easier version is linked above.
Yes. The PDF includes a full answer sheet with the working for every question. You can also view the answers online.
About 45 minutes for 15 questions. Short, regular sessions work best: two or three a week beats one long one.
No. Click Download Free PDF and it opens immediately. It is free for personal, classroom and homeschool use.
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Show your working. Give decimal answers exactly or to 2 decimal places unless told otherwise.
A random variable X assigns a number to each outcome of a random experiment. It is discrete if it takes separate (countable) values, such as the number of sixes in four rolls. Its probability distribution lists each value x with its probability P(X = x).
In a valid distribution, every probability is between 0 and 1 and the probabilities add to 1.
Worked example. X is the number shown on a spinner with P(X = 1) = 0.5, P(X = 2) = 0.3 and P(X = 3) = c. Then 0.5 + 0.3 + c = 1, so c = 0.2, and P(X > 1) = 0.3 + 0.2 = 0.5.
The expected value (mean) of a discrete random variable is E(X) = μ = Σ x P(X = x): multiply each value by its probability and add. It is the long-run average value of X over many repeats.
A game is fair when the expected gain (expected winnings − cost to play) is 0.
Worked example. A spinner pays $0 with probability 0.5, $2 with probability 0.3 and $10 with probability 0.2. E(payout) = 0 × 0.5 + 2 × 0.3 + 10 × 0.2 = 0.6 + 2 = $2.60. If a spin costs $3, the expected gain is 2.60 − 3 = −$0.40.
The variance measures spread about the mean: Var(X) = E(X[sup 2]) − [E(X)][sup 2], where E(X2) = Σ x2 P(X = x). The standard deviation is SD(X) = √Var(X), in the same units as X.
For a linear change Y = aX + b: E(aX + b) = aE(X) + b and Var(aX + b) = a[sup 2] Var(X), so SD(aX + b) = |a| SD(X).
Worked example. X takes values 1 and 3, each with probability 0.5. E(X) = 2, E(X2) = 0.5 × 1 + 0.5 × 9 = 5, so Var(X) = 5 − 22 = 1 and SD = 1.
Preview — the PDF contains the full resource and answer sheet.
An HSC/VCE-style study guide to multi-stage probability: the addition and multiplication rules, tree diagrams with and without…
A senior maths worksheet on counting: the multiplication principle, factorials, permutations (including repeated letters, restrictions and…
Worksheet · Year 9 · Probability · Level 1 · Easier
Worksheet · Year 9 · Probability · Level 2 · Standard
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