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GCSE Maths · EdexcelChapter 23 · Probability
GCSE Maths · Probability · Higher · Lesson 23.2

GCSE Maths: Probabilities add up to 1: the probability of “not A” (Higher)

Part of the GCSE Maths probability chapter (Higher). Chapter overview · Foundation version of this lesson · whole chapter on one page · Download worksheet (PDF) · Answers (PDF)

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23.2

Probabilities add up to 1: the probability of “not A”

Edexcel 1MA1: P4, P3
Grade 2-5

Look at a single roll of a die. Exactly one of the numbers 1, 2, 3, 4, 5 or 6 must come up. These six outcomes cover every possibility, so we call them exhaustive. They cannot happen at the same time, so we also call them mutually exclusive (the die cannot show 2 and 5 together). Because exactly one of them must happen, the probabilities of all the outcomes add up to 1: 1/6 + 1/6 + 1/6 + 1/6 + 1/6 + 1/6 = 1. This is a very useful fact, because if we know all the probabilities but one, we can work out the missing one by taking the rest away from 1.

P(A)P(not A)01The whole bar is probability 1
An event A either happens or it does not. The two probabilities fill the whole bar: P(A) + P(not A) = 1.

The complement. For any event A, the event “A does not happen” is called not A (or the complement of A, written A′). Since A either happens or does not happen, and these two cannot both happen, P(not A) = 1 − P(A). For example, if the probability that it rains is 0.3, then the probability that it does not rain is 1 − 0.3 = 0.7. It is usually quicker to work out “not A” this way than to count all the outcomes that are not A. Use it whenever you see the words not, fails, misses or at least one (you will see the last one in section 23.5).

Fractions, decimals and percentages. The rule works in every form. With a fraction, write 1 as a fraction with the same denominator: 1 − 3/8 = 8/8 − 3/8 = 5/8. With a decimal, 1 − 0.35 = 0.65. With a percentage, 100% − 35% = 65%.

Missing probabilities. If several outcomes are listed in a table and one probability is missing, add the known ones and take the total from 1. Adding for “or”. If two events cannot happen together (mutually exclusive), the probability of one or the other is found by adding their probabilities. For example, if P(red) = 0.2 and P(blue) = 0.35 for a spinner, then P(red or blue) = 0.2 + 0.35 = 0.55. We use this idea a lot in sections 23.5 and 23.6.

Key ideas

  • The probabilities of all the possible outcomes of an experiment add up to 1.
  • P(not A) = 1 − P(A), in any form: fractions, decimals or percentages.
  • Mutually exclusive events cannot happen together. Exhaustive outcomes cover every possibility.
  • To find a missing probability: add the known ones and subtract the total from 1.
  • For mutually exclusive events, P(A or B) = P(A) + P(B).
Worked example 23.2.1
The probability that Priya’s bus is late is 0.35. Work out the probability that her bus is not late.

Key words. The complement of an event is “the event does not happen”, written not A or A′. Outcomes are exhaustive if together they cover every possibility, so their probabilities add up to 1.

Method. The probabilities of an event happening and not happening add up to 1 (or 100%), so subtract the given probability from 1.

  1. Spot the event and its opposite. Either “late” happens or “not late” happens, never both, so these two events are opposites that cover every possibility.
    P(late) = 0.35
  2. Write the rule. An event either happens or it does not, so the two probabilities add up to 1. Therefore P(not A) = 1 − P(A).
    P(not late) = 1 − P(late)
  3. Subtract from 1. Line up the decimal points and take the probability away from 1.
    1 − 0.35 = 0.65

Check. Add the two probabilities: 0.35 + 0.65 = 1. ✓

Watch out. The answer must be between 0 and 1. If you get a negative number or a number bigger than 1 you have subtracted the wrong way round.

Worked example 23.2.2
The probability that Josh wins a game is 38. Work out the probability that he does not win.

Key words. The complement of an event is “the event does not happen”, written not A or A′. Outcomes are exhaustive if together they cover every possibility, so their probabilities add up to 1.

Method. The probabilities of an event happening and not happening add up to 1 (or 100%), so subtract the given probability from 1.

  1. Spot the event and its opposite. Either “win” happens or “not win” happens, never both, so these two events are opposites that cover every possibility.
    P(win) = 38
  2. Write the rule. An event either happens or it does not, so the two probabilities add up to 1. Therefore P(not A) = 1 − P(A).
    P(not win) = 1 − P(win)
  3. Write 1 as a fraction with the same denominator. We can only subtract fractions with the same denominator. 1 whole is 8 out of 8.
    1 = 88
  4. Subtract the numerators. The denominator stays the same.
    88 − 38 = 58

Check. Add the two probabilities: 38 + 58 = 1. ✓

Watch out. The answer must be between 0 and 1. If you get a negative number or a number bigger than 1 you have subtracted the wrong way round.

ColourRedBlueGreenYellow
Probability0.30.250.15x
Worked example 23.2.3
A biased spinner can land on red, blue, green or yellow. The table shows the probabilities. Work out the value of x, the probability of yellow.

Key words. The complement of an event is “the event does not happen”, written not A or A′. Outcomes are exhaustive if together they cover every possibility, so their probabilities add up to 1.

Method. The probabilities of all the possible outcomes add up to 1. Add the ones we know, then take the total away from 1.

  1. Write down what we know. The outcomes listed cover every possibility, so their probabilities add up to 1. One of them is missing.
    P(red) = 0.3
    P(blue) = 0.25
    P(green) = 0.15
    P(yellow) = ?
  2. Add the known probabilities. Line up the decimal points carefully.
    0.3 + 0.25 + 0.15 = 0.7
  3. Subtract the total from 1. All the probabilities add up to 1, so the missing one is 1 minus the total of the others.
    1 − 0.7 = 0.3

Check. Add all the probabilities, including the one we found: 0.3 + 0.25 + 0.15 + 0.3 = 1. ✓

Watch out. Do not forget that the missing probability makes the total exactly 1 (not more, not less).

Worked example 23.2.4
In a game a player can win, draw or lose. P(win) = 12 and P(draw) = 16. Work out P(lose).

Key words. The complement of an event is “the event does not happen”, written not A or A′. Outcomes are exhaustive if together they cover every possibility, so their probabilities add up to 1.

Method. The probabilities of all the possible outcomes add up to 1. Add the ones we know, then take the total away from 1.

  1. Write down what we know. The outcomes listed cover every possibility, so their probabilities add up to 1. One of them is missing.
    P(win) = 12
    P(draw) = 16
    P(lose) = ?
  2. Add the known probabilities. Use the common denominator 6 so that we can add them.
    36 + 16 = 46 = 23
  3. Subtract the total from 1. All the probabilities add up to 1, so the missing one is 1 minus the total of the others.
    66 − 46 = 26 = 13

Check. Add all the probabilities, including the one we found: 12 + 16 + 13 = 1. ✓

Watch out. Do not forget that the missing probability makes the total exactly 1 (not more, not less).

Worked example 23.2.5
Use the spinner table above. Work out the probability that the spinner lands on red or blue.

Key words. The complement of an event is “the event does not happen”, written not A or A′. Outcomes are exhaustive if together they cover every possibility, so their probabilities add up to 1.

Method. Red and blue cannot both happen on one spin, so the events are mutually exclusive. For mutually exclusive events we add the probabilities.

  1. Decide whether the events can happen together. The spinner lands on one colour only, so red and blue cannot both happen.
    Mutually exclusive
  2. Write the rule. For mutually exclusive events, P(A or B) = P(A) + P(B).
    P(red or blue) = P(red) + P(blue)
  3. Add the probabilities. Line up the decimal points.
    0.3 + 0.25 = 0.55

Check. The opposite event is green or yellow: 0.15 + 0.3 = 0.45 (since x = 0.3), and 0.55 + 0.45 = 1. ✓

Watch out. Add for “or” only when the events cannot happen together.

Watch out

Do not stop after finding the total of the known probabilities. The missing probability is 1 minus that total. And check that every probability is between 0 and 1 and that all of them add up to exactly 1. Also do not say P(not A) = P(A) − 1: that is negative.

Exercise 23B  Adding to 1 and the probability of “not”

Non-calculator
1
FThe probability of event A is given. Work out the probability that A does not happen.
(a)P(A) = 27
(b)P(A) = 59
(c)P(A) = 310
(d)P(A) = 712
(e)P(A) = 120
2
FWork out the probability that each event does not happen.
(a)P(rain) = 0.7
(b)P(win) = 0.45
(c)P(late) = 0.08
(d)P(pass) = 85%
(e)P(sunny) = 62%
3
FA biased spinner lands on red, blue, green or yellow. The table shows the probabilities. Work out the probability that it lands on yellow.
ColourRedBlueGreenYellow
Probability0.20.350.15?
4
FA bag has red, blue and green counters only. P(red) = 310 and P(blue) = 15. Work out P(green).
5
PSThe table shows the probabilities of the scores on a biased die.
Score123456
Probability0.10.150.20.20.15?
(a)Work out the probability of scoring 6
(b)Work out the probability of scoring an even number
(c)Work out the probability of not scoring 6
6
RThe probability that a train arrives early is 0.1, the probability that it is on time is 0.6 and the probability that it is late is 0.2. Explain why there must be another possible outcome, and find its probability.
7
RAli says: “The probabilities of A, B and C are 0.5, 0.3 and 0.4, and A, B and C are the only possible outcomes.” Explain why Ali cannot be correct.
8
FThe probability that Ravi passes a driving test is 0.58. The probability that Aisha passes is 0.72. Work out the probability that...
(a)Ravi does not pass
(b)Aisha does not pass
9
PSThe spinner has 12 equal sections. Each section is red, blue or green. P(red) = 13 and P(blue) = 14. How many sections are green?
10
PSA bag has red, blue and yellow counters only. P(red) = 0.4 and P(blue) = 0.35. Work out P(yellow), and then P(red or yellow).
(a)P(yellow)
(b)P(red or yellow)
11
RP(A) = 0.7 and P(B) = 0.5. Explain why A and B cannot be mutually exclusive.
12
PSThe probabilities that a spinner lands on A, B, C or D are x, 2x, 3x and 0.4. Work out the value of x and the probability that it lands on C.
(a)The value of x
(b)The probability of C

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