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Year 10 Maths - 10A Probability

Two-step Experiments Using Tables

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Theory

A two-step experiment, such as rolling two dice or drawing two counters, can be shown in an array (a table of every outcome) or a tree diagram. This Year 10A maths page covers arrays of sums, products, differences and the larger number, draws with and without replacement, "at least one", trees that stop early, expected numbers and fair games.

A multistage experiment is done in steps, such as rolling a die then spinning a spinner. If step one has \(m\) outcomes and step two has \(n\), there are \(m\times n\) outcomes altogether.

An array (or table of outcomes) shows the first step down the side and the second across the top. Each cell is one outcome, and the cells are equally likely when each step's outcomes are. The cells can hold pairs, sums, products, differences or the larger number.

A tree diagram shows each step as a set of branches labelled with probabilities. The branches from any point add to \(1\). Trees are best when the outcomes are not equally likely, or when there are three or more stages.

With replacement, the item is put back, so the second step has the same probabilities as the first. Without replacement, the item is kept out, so the second step has one fewer item and its probabilities change.

An array of productsA 6 by 4 array: die values 1 to 6 down the side, spinner values 1 to 4 across the top, and each cell holds their product. The 11 cells that are multiples of 4 are red: the whole spinner-4 column, the even die values in the spinner-2 column, and 4 times 1 and 4 times 3. Probability 11 over 24. spinner β†’ die ↓ Γ— 1 2 3 4 1 1 2 3 4 2 2 4 6 8 3 3 6 9 12 4 4 8 12 16 5 5 10 15 20 6 6 12 18 24 24 outcomes 11 are multiples of 4 P = 11/24
An array lists every outcome of two steps as a grid. Each cell is equally likely when each step's outcomes are.
Tree diagram with replacementA two-stage tree for a bag of 5 red and 3 white counters drawn with replacement. Every branch to R is 5 eighths and every branch to W is 3 eighths. Outcomes: RR 25 over 64, RW 15 over 64, WR 15 over 64, WW 9 over 64. RW and WR are red. 5/8R5/8RRR 25/643/8WRW 15/643/8W5/8RWR 15/643/8WWW 9/64
Multiply along a path for "and". Add the paths you need for "or": one of each \(=\dfrac{15}{64}+\dfrac{15}{64}\) (Example 2).
\[P(\text{path})=\text{product of its branches}\]
\[P(\text{event})=\text{sum of its paths}\]
\[P(\text{at least one})=1-P(\text{none})\]
P(A then B)=P(A)×P(B)
Two dice: the sum\(2\)\(3\)\(4\)\(5\)\(6\)\(7\)\(8\)\(9\)\(10\)\(11\)\(12\)
number of ways\(1\)\(2\)\(3\)\(4\)\(5\)\(6\)\(5\)\(4\)\(3\)\(2\)\(1\)
Choosing a tool. Use an array for two steps with equally likely outcomes (dice, equal spinners, coins), especially when combining the numbers. Use a tree for unequal probabilities, for without replacement, and for three or more stages. For three stages, "exactly two" is three paths, each with the same product.
Fair games and expected numbers. A game is fair when each player has the same probability of winning. The expected number of times an outcome occurs in \(n\) repeats is \(n\times P\): for example a sum of \(9\) in \(72\) rolls of two dice is expected \(72\times\dfrac{4}{36}=8\) times.
A tree that stops early. If a player passes a test with probability \(0.6\) on each try and stops after passing, with at most \(3\) tries, then "passes on the second try" is fail, pass: \(0.4\times 0.6=0.24\). "Needs all \(3\) tries" is fail, fail (the third try happens whatever its result): \(0.4\times 0.4=0.16\).

How to solve a two-step problem

  1. Decide: array or tree? With or without replacement?
  2. Draw it: fill the array, or label every branch. Check the branches at each point add to \(1\).
  3. Mark the outcomes or paths in the event. "One of each" usually means two paths, such as \(RW\) and \(WR\).
  4. Calculate: count cells over the total, or multiply along each path and add the paths.
  5. Use the complement for "at least one".

Other question types

  1. Different spinner sections: a spinner with a red half, a blue quarter and a green quarter has unequal branches \(\dfrac{1}{2}, \dfrac{1}{4}, \dfrac{1}{4}\). Use a tree, not a list of colours.
  2. Stop when successful: "succeeds on the third try" is fail, fail, succeed. "Needs a third try" is just fail, fail.
  3. Working backwards: with replacement, \(P(\text{both red})=p^2\), so \(p=\sqrt{P}\). Without replacement, write the path with a pronumeral and solve the equation, which may be quadratic.
  4. Raffles and prizes: drawing winning tickets is without replacement; the second draw has one fewer ticket.
  5. Repeated rounds: if a tie means the round is replayed, only the rounds with a winner matter, so compare the players' chances within a single round.
Example 1 β€” An array
A fair die is rolled and a spinner numbered \(1\) to \(4\) (equal sections) is spun. The two numbers are multiplied. Use an array to find:
(i) \(P(\text{product is a multiple of } 4)\)
(ii) \(P(\text{product}\gt 12)\)
Solution

The array (Diagrams tab) has \(6\times 4=24\) equally likely cells.

(i) Multiples of \(4\): all \(6\) in the spinner-\(4\) column, \(2\times 2\), \(4\times 2\), \(6\times 2\) in the spinner-\(2\) column, and \(4\times 1\), \(4\times 3\). That is \(6+3+1+1=11\).

\(P\)\(=\)\(\boldsymbol{\dfrac{11}{24}}\)

(ii) Products over \(12\): \(15, 18\) (spinner \(3\)) and \(16, 20, 24\) (spinner \(4\)). \(12\) itself does not count.

\(P\)\(=\)\(\boldsymbol{\dfrac{5}{24}}\)
Example 2 β€” Tree diagram with replacement
A bag has \(5\) red and \(3\) white counters. A counter is drawn, its colour noted and it is put back, then a second counter is drawn. Find:
(i) \(P(\text{one of each colour})\)
(ii) \(P(\text{at least one white})\)
Solution

With replacement the bag is the same for both draws: \(P(R)=\dfrac{5}{8}\), \(P(W)=\dfrac{3}{8}\) each time.

(i) One of each is \(RW\) or \(WR\). Multiply along each path, then add.

\(P\)\(=\)\(\dfrac{5}{8}\times\dfrac{3}{8}+\dfrac{3}{8}\times\dfrac{5}{8}\)
\(\)\(=\)\(\dfrac{30}{64}=\boldsymbol{\dfrac{15}{32}}\)

(ii) "At least one white" is every path except \(RR\). Use the complement.

\(P\)\(=\)\(1-\dfrac{5}{8}\times\dfrac{5}{8}=1-\dfrac{25}{64}=\boldsymbol{\dfrac{39}{64}}\)
Example 3 β€” Without replacement
A different bag has \(6\) red and \(3\) white counters. Two counters are drawn without replacement. Find:
(i) \(P(\text{both the same colour})\)
(ii) \(P(\text{at least one white})\)
Solution

After the first draw, \(8\) counters are left and there is one fewer of the colour drawn.

\(P(RR)\)\(=\)\(\dfrac{6}{9}\times\dfrac{5}{8}=\dfrac{30}{72}\)
\(P(WW)\)\(=\)\(\dfrac{3}{9}\times\dfrac{2}{8}=\dfrac{6}{72}\)

(i) \(P(\text{same})=\dfrac{30}{72}+\dfrac{6}{72}=\dfrac{36}{72}=\boldsymbol{\dfrac{1}{2}}\).

(ii) Use the complement of \(RR\).

\(P(\text{at least one } W)\)\(=\)\(1-P(RR)\)
\(\)\(=\)\(1-\dfrac{30}{72}=\boldsymbol{\dfrac{7}{12}}\)
P(at least one)=1−P(none)
Example 4 β€” A fair game?
Two fair dice are rolled and the difference between the numbers (larger minus smaller) is found. Mia wins if the difference is \(3\) or more. Jo wins if the difference is \(1\) or \(2\). A difference of \(0\) is a draw.
(i) Find the probability that each player wins.
(ii) Is the game fair?
(iii) In \(60\) games, how many wins would you expect for each player?
Solution
Array of differences for two diceA 6 by 6 array. Rows are the first die, columns the second die, and each cell is the larger number minus the smaller. The 12 cells with a difference of 3, 4 or 5 are shaded red, in the corners away from the main diagonal of zeros. βˆ’123456123456012345101234210123321012432101543210

(i) The array has \(36\) equally likely cells. Count by difference: \(0\) appears \(6\) times, \(1\) appears \(10\), \(2\) appears \(8\), and \(3, 4, 5\) appear \(6, 4, 2\) times.

\(P(\text{Mia})\)\(=\)\(\dfrac{6+4+2}{36}=\boldsymbol{\dfrac{1}{3}}\)
\(P(\text{Jo})\)\(=\)\(\dfrac{10+8}{36}=\boldsymbol{\dfrac{1}{2}}\)
P(Mia)=1236=13

(ii) \(\dfrac{1}{2}\ne\dfrac{1}{3}\), so the game is not fair: Jo is more likely to win. (A draw has probability \(\dfrac{6}{36}=\dfrac{1}{6}\); check \(\dfrac{1}{3}+\dfrac{1}{2}+\dfrac{1}{6}=1\).)

\(\text{Mia}\)\(=\)\(60\times\dfrac{1}{3}=\boldsymbol{20}\)
\(\text{Jo}\)\(=\)\(60\times\dfrac{1}{2}=\boldsymbol{30}\)
60×13=20

Common pitfalls

Count both orders. "One red and one white" includes red-then-white and white-then-red. Missing one path halves the answer.
Without replacement changes the second draw. After one red is taken from \(5\) red and \(3\) white, the second draw is out of \(7\), with \(4\) red.
Multiply along, add across. Multiply the probabilities on one path; add the results of different paths. Do not add along a path.
Do not list unequal outcomes as equally likely. A spinner that is half red is not one-third red just because it has three colours.
"At least one" is not "exactly one". At least one includes two or more. The complement \(1-P(\text{none})\) is usually quickest.

Frequently asked questions

When should I use an array instead of a tree diagram?

Use an array when there are two steps with equally likely outcomes, such as two dice, especially if you combine the numbers by adding, multiplying or subtracting. Use a tree for unequal probabilities, without replacement, or three or more steps.

How do you calculate probabilities from a tree diagram?

Multiply the probabilities along each branch of a path to get the probability of that path. If the event includes several paths, add their probabilities.

What is the difference between with and without replacement?

With replacement the item goes back, so every draw has the same probabilities. Without replacement it stays out, so the next draw has one fewer item and the probabilities change.

How do you find the probability of at least one?

Find the probability of none, then subtract it from \(1\). For at least one six in two rolls: \(1-\dfrac{5}{6}\times\dfrac{5}{6}=\dfrac{11}{36}\).

How many outcomes are there when two dice are rolled?

There are \(6\times 6=36\) equally likely ordered outcomes. \((2, 5)\) and \((5, 2)\) are different outcomes, so count both.

How do you decide if a game is fair?

Find each player's probability of winning. The game is fair only if they are equal. Expected wins in \(n\) games are \(n\) times each probability.