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Year 7 Maths Probability

Probability

20 practice questions 1 video lesson Theory + worked examples
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Theory

The probability of an event tells you how likely it is. When all the outcomes are equally likely, \(P(\text{event}) = \dfrac{\text{number of favourable outcomes}}{\text{total number of outcomes}}\). This Year 7 maths page shows how to count the outcomes, handle “or” and “not”, and write a probability as a fraction, decimal or percentage.

An experiment is a situation involving chance that leads to outcomes. A trial is one run of the experiment, and an outcome is a result. An event consists of one or more outcomes. \(P(E)\) means the probability of an event \(E\).

\(P(E) = \dfrac{\text{number of favourable outcomes}}{\text{total number of outcomes}}\) when the outcomes are equally likely (a fair die, equal sectors, or a choice made at random). This is the theoretical (expected) probability.

Step 1. Count all the equally likely outcomes: every card, marble or equal sector, including repeats. (The bag in Diagrams has \(3\) colours but \(8\) marbles.) Step 2. Count the favourable outcomes. Step 3. Write favourable over total and simplify (divide by the HCF).

For an “or” event, count each favourable outcome only once. On a die, “even or greater than \(4\)” is \(\{2, 4, 5, 6\}\): \(4\) outcomes, not \(3 + 2 = 5\), because \(6\) is in both. A “not” event uses every outcome that is not in the event.

A probability can be a fraction, a decimal or a percentage. Make the denominator \(100\): \(\dfrac{9}{20} = \dfrac{45}{100} = 0.45 = 45\%\).

Bag of 8 marbles A bag with 2 red, 5 blue and 1 yellow marble. The 2 red marbles are circled. R R B B B B B Y
\(2 + 5 + 1 = 8\) marbles, so the total is \(8\). The \(2\) circled red marbles are the favourable outcomes for red: \(P(\text{red}) = \dfrac{2}{8} = \dfrac{1}{4}\). Blue: \(\dfrac{5}{8}\). Yellow: \(\dfrac{1}{8}\). Red or yellow: \(\dfrac{2 + 1}{8} = \dfrac{3}{8}\).
Probability scale A line from 0 to 1. 0 is impossible, one half is an even chance and 1 is certain; below one half is unlikely and above is likely. 0 1/4 1/2 3/4 1 impossible unlikely even chance likely certain
Every probability is from \(0\) (impossible) to \(1\) (certain). \(\dfrac{1}{2}\) is an even chance.

The rule:

\[ P(E) = \dfrac{\text{number of favourable outcomes}}{\text{total number of outcomes}} \]
P ( E )= number of favourable outcomes / total number of outcomes
\[ 0 \le P(E) \le 1 \]
0 P ( E )1
Divide by the total, not by the rest. In the bag of \(8\), \(P(\text{red}) = \dfrac{2}{8}\), not \(\dfrac{2}{6}\).
Count equal sectors, not colours. A spinner with \(8\) equal sectors, \(4\) of them blue, has \(P(\text{blue}) = \dfrac{4}{8} = \dfrac{1}{2}\), even if it has \(3\) colours.

How to find a probability

  1. Count the total number of equally likely outcomes.
  2. Count the favourable outcomes (each one once).
  3. Write favourable over total.
  4. Simplify, or change to a decimal or percentage if asked.
Example 1 — A bag of counters
A bag contains \(4\) blue, \(3\) red and \(2\) white counters. One is taken at random. Find
(i) \(P(\text{red})\)
(ii) \(P(\text{not white})\)
(iii) \(P(\text{blue, red or white})\)
(iv) \(P(\text{green})\)
Solution
\(4 + 3 + 2\)\(=\)\(9\)
\(\dfrac{3}{9}\)\(=\)\(\dfrac{1}{3}\)
\(\dfrac{3 + 4}{9}\)\(=\)\(\dfrac{7}{9}\)
\(\dfrac{4 + 3 + 2}{9}\)\(=\)\(1\)
total 4+3+2=93/9=1/3(3+4)/9=7/99/9=10/9=0

(i) \(\dfrac{1}{3}\)
(ii) not white means red or blue: \(\dfrac{7}{9}\)
(iii) \(1\) (certain)
(iv) \(\dfrac{0}{9} = 0\) (no green counters)

Example 2 — Rolling a die
A standard die (numbered \(1\) to \(6\)) is rolled once. Find
(i) \(P(5)\)
(ii) \(P(\text{prime number})\)
(iii) \(P(\text{not an even number})\)
Solution

(i) One \(5\) among \(6\) numbers: \(\dfrac{1}{6}\)
(ii) The primes are \(2, 3, 5\): \(\dfrac{3}{6} = \dfrac{1}{2}\)
(iii) Not even means \(1, 3, 5\): \(\dfrac{3}{6} = \dfrac{1}{2}\)

Example 3 — Numbered cards
Ten cards are numbered \(1\) to \(10\). One card is chosen at random. Find each probability in simplest form.
(i) \(P(7)\)
(ii) \(P(\text{even})\)
(iii) \(P(\text{less than } 4)\)
Solution

(i) \(\dfrac{1}{10}\)
(ii) \(2, 4, 6, 8, 10\): \(\dfrac{5}{10} = \dfrac{1}{2}\)
(iii) \(1, 2, 3\) (not \(4\)): \(\dfrac{3}{10}\)

Example 4 — A tin of biscuits
A tin has \(5\) Anzac, \(4\) choc chip and \(3\) shortbread biscuits. One is taken at random. Find
(i) \(P(\text{Anzac})\)
(ii) \(P(\text{Anzac or shortbread})\)
Solution
\(5 + 4 + 3\)\(=\)\(12\)
\(\dfrac{5 + 3}{12}\)\(=\)\(\dfrac{8}{12} = \dfrac{2}{3}\)
total =12(5+3)/12=8/12=2/3

(i) \(\dfrac{5}{12}\)
(ii) \(\dfrac{2}{3}\)

Example 5 — Fraction, decimal, percentage
A netball club has \(25\) players: \(11\) in the under-12s, \(8\) in the under-13s and \(6\) in the under-14s. One player is chosen at random to be captain. Write \(P(\text{under-13})\) as a fraction, a decimal and a percentage.
Solution
\(11 + 8 + 6\)\(=\)\(25\)
\(\dfrac{8}{25}\)\(=\)\(\dfrac{32}{100}\)
total =258/25=32/100=0.32=32

\(\dfrac{8}{25}\), \(0.32\), \(32\%\)

Example 6 — Working backwards
Mia has \(5\) tickets in a class raffle, and \(P(\text{Mia wins}) = \dfrac{1}{8}\).
(i) How many tickets were sold?
(ii) How many more tickets must be sold to make \(P(\text{Mia wins}) = \dfrac{1}{10}\)?
Solution
\(\dfrac{1}{8}\)\(=\)\(\dfrac{5}{40}\)
\(\dfrac{1}{10}\)\(=\)\(\dfrac{5}{50}\)
\(50 - 40\)\(=\)\(10\)
1/8=5/40,1/10=5/50,50−40=10

(i) \(40\) tickets
(ii) \(10\) more tickets

Example 7 — Adding to change a probability
A cooler has \(3\) apple, \(5\) orange and \(1\) lemon juice. How many lemon juices must be added so that \(P(\text{apple}) = \dfrac{1}{4}\)?
Solution
\(\dfrac{1}{4}\)\(=\)\(\dfrac{3}{12}\)
\(12 - 9\)\(=\)\(3\)
1/4=3/12,12−9=3

The total must be \(12\), and there are \(9\) now, so add \(3\) lemon juices. Check: \(\dfrac{3}{12} = \dfrac{1}{4}\).

Common pitfalls

Dividing by the rest. \(P(\text{red}) = \dfrac{2}{8}\), not \(\dfrac{2}{6}\). The bottom counts every outcome.
Two outcomes do not mean 1/2 each. “A \(2\) or not a \(2\)” is not an even split: \(P(2) = \dfrac{1}{6}\) on a die.
Counting an outcome twice. “Even or greater than \(4\)” on a die is \(4\) outcomes, not \(5\).
Not simplifying. Give \(\dfrac{8}{12}\) as \(\dfrac{2}{3}\).

Frequently asked questions

How do you calculate a probability?

Divide the number of favourable outcomes by the total number of equally likely outcomes.

What is the probability of rolling a 2 on a die?

\(\dfrac{1}{6}\): one favourable outcome out of six.

Can a probability be written as a percentage?

Yes. \(\dfrac{9}{20} = 0.45 = 45\%\).

What is the probability of something that cannot happen?

\(0\). For example, a green counter from a bag with none.

What does at random mean?

Every object has the same chance of being chosen.