Basic Probability and the Probability Scale

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How to use the probability scale and its words, find a probability by counting equally likely outcomes with dice, spinners and counters, find the probability that something does not happen, compare chances, and work back from a probability to a number.

What probability means

A probability is a number that tells you how likely something is to happen. The something is called an event, such as "the dice lands on 6" or "it rains tomorrow".

Every probability is a number from 0 to 1. You can write it as a fraction, a decimal or a percentage, so \frac{1}{4}, 0.25 and 25\% all say the same thing. No probability is less than 0 or more than 1.

In the exam you are usually asked to mark a probability on a probability scale, or to "Write down the probability" of an event with a dice, a spinner or counters in a bag, for 1 or 2 marks. Harder questions ask you to compare two chances, or to work out how many counters there are from a probability.

The probability scale

  • Impossible: the probability is 0.
  • Unlikely: between 0 and \frac{1}{2}.
  • Evens (an even chance): exactly \frac{1}{2}.
  • Likely: between \frac{1}{2} and 1.
  • Certain: the probability is 1.

Rolling a 7 on an ordinary dice is impossible, so its probability is 0. Rolling a number less than 7 is certain, so its probability is 1. Getting heads with a fair coin is evens: \frac{1}{2}

Some scales are split into equal parts with no numbers on them. Count the parts between 0 and 1 first. If there are 10 parts, each part is 0.1; if there are 4 parts, each part is \frac{1}{4}.

Worked example 1: Reading a probability scale

The cross on the probability scale shows the probability that it will snow tomorrow. Write down this probability as a decimal. Which word best describes the chance of snow?

  1. The scale from 0 to 1 is split into 5 equal parts.
  2. Each part is 1\div5=0.2
  3. Your turn. The cross is 2 parts from 0. What probability does it show?

    2\times0.2=0.4

  4. 0.4 is less than 0.5, so snow is unlikely.
  5. Answer: 0.4, which is unlikely.

Equally likely outcomes

Each possible result is called an outcome. A dice has 6 outcomes: 1, 2, 3, 4, 5 and 6. When a dice is fair, or a counter is taken at random, every outcome has the same chance. The outcomes are equally likely.

When the outcomes are equally likely:

P(\text{event})=\frac{\text{number of outcomes that fit the event}}{\text{total number of outcomes}}

P(\text{event}) is short for "the probability of the event".

For counters in a bag, count every counter, not the number of colours. A bag with 1 red counter and 9 blue counters has two colours, but P(\text{red})=\frac{1}{10}, not \frac{1}{2}.

For a spinner, count the sectors only if they are all the same size. A sector label can appear more than once, so count every sector with that label. If the sectors are different sizes, they are not equally likely, and counting sectors gives the wrong answer.

Worked example 2: Taking a counter at random

A bag contains only 4 yellow counters, 7 purple counters and 9 orange counters. Nadia takes at random a counter from the bag. Write down the probability that the counter is purple. Write down the probability that the counter is white.

  1. The counter is taken at random, so every counter is equally likely. Count all the counters.
  2. Your turn. How many counters are in the bag?

    4+7+9=20 counters

  3. 7 of the 20 counters are purple, so P(\text{purple})=\frac{7}{20}
  4. There are no white counters, so taking a white counter is impossible: P(\text{white})=0
  5. Answer: P(\text{purple})=\frac{7}{20} and P(\text{white})=0

Worked example 3: A spinner with repeated numbers

A fair spinner has 6 equal sectors. The sectors are numbered 4, 2, 4, 5, 4 and 5. Find the probability that the spinner lands on 4. Find the probability that it lands on 2.

  1. The 6 sectors are the same size, so each sector is equally likely.
  2. Three sectors show 4, so P(4)=\frac{3}{6}=\frac{1}{2}, an even chance.
  3. Your turn. Only one sector shows 2. What is P(2)?

    P(2)=\frac{1}{6}

  4. There are three different numbers, but they are not equally likely, so P(2) is not \frac{1}{3}.
  5. Answer: P(4)=\frac{1}{2} and P(2)=\frac{1}{6}

Events with more than one outcome

Many events are made of several outcomes. List the outcomes that fit, count them, then divide by the total. On a fair dice, "a square number" is 1 and 4, so its probability is \frac{2}{6}=\frac{1}{3}

Read the boundary words carefully. "Greater than 4" does not include 4. "Less than 3" does not include 3. "At least 4" means 4 or more, so it does include 4.

An event with or fits if either part is true. An event with and fits only if both parts are true. When you list the outcomes for "or", count a number that fits both parts only once.

Worked example 4: Counting outcomes for an "or" event

Twelve cards are numbered 1 to 12. One card is taken at random. Find the probability that the number on the card is a multiple of 4 or greater than 9.

  1. Multiples of 4: 4, 8, 12
  2. Greater than 9: 10, 11, 12. The 9 itself is not greater than 9.
  3. Your turn. The 12 is in both lists, so count it once. How many different cards fit the event?

    4, 8, 10, 11 and 12: that is 5 cards.

  4. There are 12 cards altogether, so the probability is \frac{5}{12}
  5. Answer: \frac{5}{12}

When an event does not happen

An event either happens or it does not, so the two probabilities add up to 1:

P(\text{not }A)=1-P(A)

where A is the event.

If the probability of rain is 0.3, the probability of no rain is 1-0.3=0.7. If the probability of winning is \frac{2}{9}, the probability of not winning is 1-\frac{2}{9}=\frac{7}{9}

In the same way, the probabilities of all the possible outcomes add up to 1. If a bag holds only red, white and blue beads, then P(\text{red})+P(\text{white})+P(\text{blue})=1

Sometimes the rest is split between two outcomes, with one twice as likely as the other. If the two left add up to 0.45, split 0.45 into 3 equal parts of 0.15. The more likely outcome has 2 parts, 0.3, and the other has 0.15.

Comparing chances and working backwards

To compare two chances, work out each probability and write them in the same form, such as decimals. Do not just compare the numbers of winners: one bag may have more winners but many more counters altogether.

A probability also tells you how many there are of each kind. If a bag holds 50 counters and P(\text{red})=0.3, there are 0.3\times50=15 red counters.

Work backwards in equal parts. If 7 counters are \frac{1}{4} of the bag, the bag holds 4\times7=28 counters. If a probability of 0.1 stands for 7 counters, then 0.3 is 3 lots of 0.1, so it stands for 3\times7=21 counters. Do not just add 2 to the 7.

Worked example 5: Comparing the chances in two jars

Jar A contains 6 winning balls and 9 losing balls. Jar B contains 7 winning balls and 13 losing balls. Ravi takes at random a ball from one of the jars. Which jar gives Ravi the greater probability of taking a winning ball?

  1. Jar A has 6+9=15 balls, so P(\text{win})=\frac{6}{15}=0.4
  2. Your turn. How many balls are in Jar B altogether?

    7+13=20 balls

  3. Jar B: P(\text{win})=\frac{7}{20}=0.35
  4. Jar B has more winning balls, but it also has more balls altogether. Compare the probabilities: 0.4>0.35
  5. Answer: Jar A, because 0.4>0.35

Worked example 6: Finding how many were added

A tin contains only 6 dark chocolates and 10 milk chocolates. Some more dark chocolates are put in the tin. A chocolate is then taken at random. The probability that it is dark is now \frac{2}{3}. How many dark chocolates were put in the tin?

  1. Only dark chocolates were added, so there are still 10 milk chocolates.
  2. P(\text{milk})=1-\frac{2}{3}=\frac{1}{3}, so the 10 milk chocolates are \frac{1}{3} of the tin now.
  3. Your turn. If 10 chocolates are \frac{1}{3} of the tin, how many chocolates are in the tin now?

    3\times10=30 chocolates

  4. Dark chocolates now: 30-10=20
  5. Dark chocolates added: 20-6=14. Check: \frac{20}{30}=\frac{2}{3}
  6. Answer: 14

Common mistakes

  • Writing a probability as a ratio or in words. Write a fraction, a decimal or a percentage, such as \frac{4}{15}, never 4:15 or "4 out of 15".
  • Giving a word when a number is asked for. "Unlikely" is not a probability; give the value, and use the words only when the question asks for a word.
  • Treating every colour or number as equally likely. Count every counter or every equal sector, not the number of different colours or labels, and never count sectors that are different sizes.
  • Adding instead of multiplying when working back. If 0.1 stands for 7 counters, then 0.3 stands for 3\times7=21 counters, not 9.
  • Misreading the probability scale. Count the equal parts between 0 and 1 before you place or read a cross.
  • Comparing numbers of winners instead of probabilities. Work out both probabilities in the same form, then compare.

Practice questions