Chapter 11 · Probability

Probability of an Event and Its Complement

Find the probability of a simple event by counting equally likely outcomes, then subtract from one to find the probability of its complement.

18 min read

When you roll a number cube, spin a spinner or draw a marble from a bag, you cannot be sure what will happen. You can still measure how likely each result is. That measure is probability.

You already know how to list a sample space: the set of all the possible outcomes, or results, of one action. An event is one outcome, or a group of outcomes, that you are interested in. In this lesson every event is a simple event, which means it comes from a single action such as one roll, one spin or one draw.

The probability of an event is a number from 00 to 11. An impossible event has probability 00, and a certain event has probability 11. The closer a probability is to 11, the more likely the event is.

You write P(event)P(\text{event}) for "the probability of the event".

Take a fair number cube with six faces numbered 11 to 66. Fair means that every face is just as likely to land on top as any other face. Outcomes with the same chance are equally likely.

A roll is certain to show one of the 66 faces, and a certain event has probability 11. The 66 equally likely faces share that 11 equally, so each face gets 1÷6=161 \div 6 = \frac{1}{6}.

Now choose an event: "roll a number greater than 44". The outcomes that make an event happen are its favourable outcomes. Here they are 55 and 66. Only one face can land on top, so the probability of the event is the sum of those two shares: 16+16=26\frac{1}{6} + \frac{1}{6} = \frac{2}{6}. Dividing the numerator and the denominator by the same nonzero number, here 22, keeps the value of the fraction, so P(greater than 4)=26=13P(\text{greater than } 4) = \frac{2}{6} = \frac{1}{3}.

Look at what 26\frac{2}{6} compares: 22 favourable outcomes with 66 outcomes in all. The same reasoning works whenever every outcome in the sample space is equally likely. The rule below says this in symbols.

P(event)=number of favourable outcomestotal number of equally likely outcomesP(\text{event}) = \frac{\text{number of favourable outcomes}}{\text{total number of equally likely outcomes}}

Worked example

One spin of a numbered spinner

A spinner has 88 equal sections numbered 11 to 88, with one number in each section. The pointer is just as likely to stop in one section as in any other. You spin it once. What is the probability that the pointer stops on a number greater than 55?

  1. List the sample space and count it. One spin can stop on 1, 2, 3, 4, 5, 6, 7 or 8, so there are 8 possible outcomes.

    total outcomes=8\text{total outcomes} = 8
  2. Check the condition. The sections are equal, so the 8 outcomes are equally likely. That is what lets you compare the number of favourable outcomes with the total number of outcomes.

  3. Count the favourable outcomes. The numbers greater than 5 are 6, 7 and 8. The number 5 is not greater than itself, so leave it out.

    favourable outcomes=3\text{favourable outcomes} = 3
  4. Divide the number of favourable outcomes by the total number of equally likely outcomes. The numbers 3 and 8 have no common factor other than 1, so the fraction is already in simplest form.

    P(greater than 5)=38P(\text{greater than } 5) = \frac{3}{8}
  5. Check that the answer is sensible. It is at least 0 and at most 1. It is also less than one half, which fits because fewer than half of the 8 sections are favourable.

    0≤38≤10 \le \frac{3}{8} \le 1

Answer

The probability that the pointer stops on a number greater than 55 is 38\frac{3}{8}.

Outcomes are not always numbers. A bag holds 1212 marbles of the same size and feel: 22 red, 77 blue and 33 green. You shake the bag and draw one marble without looking. What is P(blue)P(\text{blue})?

First decide which outcomes are equally likely. You cannot see or feel any difference between the marbles, so each of the 1212 marbles is as likely to come out as any other. Use the 1212 individual marbles as your sample space.

The event "blue" happens when you draw any one of the 77 blue marbles. It has 77 favourable outcomes out of 1212 equally likely outcomes, so P(blue)=712P(\text{blue}) = \frac{7}{12}. That is more than one half, which makes sense because more than half of the marbles are blue.

This probability belongs to one draw from the full bag. If a marble comes out and is not put back, the bag holds different marbles, so the equally likely outcomes change and you would have to count again.

One draw from the bag: count the 12 equally likely marbles for each colour
EventNumber of favourable marblesProbability
Red
22
212\frac{2}{12}
Blue
77
712\frac{7}{12}
Green
33
312\frac{3}{12}
Red, blue or green
2+7+3=122 + 7 + 3 = 12
212+712+312=1212=1\frac{2}{12} + \frac{7}{12} + \frac{3}{12} = \frac{12}{12} = 1

Now look at a new event for the same bag: "not blue". It contains every outcome that is not in the event "blue": the 22 red marbles and the 33 green marbles. Mathematicians call "not blue" the complement of "blue". The complement of an event is the set of all the outcomes in the sample space that are not in the event.

You can find its probability by counting. In the table, 2+3=52 + 3 = 5 of the 1212 equally likely marbles are not blue, so P(not blue)=512P(\text{not blue}) = \frac{5}{12}.

There is a second way to find P(not blue)P(\text{not blue}). A sample space together with the probability of each outcome is a probability model. For the bag, the model is the 1212 marbles, each with probability 112\frac{1}{12}. In every probability model, the probabilities of all the outcomes add up to 11, because one of the outcomes is certain to happen. The last row of the table shows this total: 1212=1\frac{12}{12} = 1.

Each marble is either blue or not blue, never both. So the events "blue" and "not blue" together contain every outcome exactly once, and their probabilities add up to the same total:

P(blue)+P(not blue)=1P(\text{blue}) + P(\text{not blue}) = 1

Subtracting P(blue)P(\text{blue}) from both sides keeps the equation true. Write 11 as 1212\frac{12}{12} so that both fractions have the denominator 1212:

P(not blue)=1−712=1212−712=512P(\text{not blue}) = 1 - \frac{7}{12} = \frac{12}{12} - \frac{7}{12} = \frac{5}{12}

Both ways agree.

Key concept

Probability of an event and of its complement

Let AA stand for any event. When all the outcomes in the sample space are equally likely, P(A)P(A) is the number of favourable outcomes divided by the total number of outcomes. Every probability is at least 00 and at most 11, and the probabilities of all the outcomes in a model add up to 11.

The complement of AA, written "not AA", contains every outcome that is not in AA. Each outcome is in AA or in "not AA", never both, so P(A)+P(not A)=1P(A) + P(\text{not } A) = 1. Subtracting P(A)P(A) from both sides gives the rule below. Because P(A)P(A) is from 00 to 11, the answer 1−P(A)1 - P(A) is also from 00 to 11.

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

Worked example

The complement of drawing an E

Nine letter tiles of the same size and shape spell the word SEVENTEEN: S, E, V, E, N, T, E, E, N. You mix the tiles in a bag and draw one without looking. What is the probability that the tile is not an E?

  1. Decide which outcomes are equally likely. The tiles feel the same and you draw without looking, so each of the 9 tiles is as likely to come out as any other. Count every tile, including repeated letters.

    total outcomes=9\text{total outcomes} = 9
  2. Find the probability of drawing an E first. Four of the 9 tiles show E, so the event has 4 favourable outcomes out of 9 equally likely outcomes.

    P(E)=49P(\text{E}) = \frac{4}{9}
  3. The event "not E" is the complement of E. Each tile is an E or not an E, never both, so the two probabilities add up to 1. Subtract the probability of E from 1. Write 1 as 9 ninths so that the fractions have the same denominator.

    P(not E)=1−49=99−49=59P(\text{not E}) = 1 - \frac{4}{9} = \frac{9}{9} - \frac{4}{9} = \frac{5}{9}
  4. Check by counting the complement directly. The tiles that are not E are S, V, N, T and N. That is 5 of the 9 equally likely tiles, which matches. The two probabilities also add up to 1, as they must.

    49+59=99=1\frac{4}{9} + \frac{5}{9} = \frac{9}{9} = 1

Answer

The probability that the tile is not an E is 59\frac{5}{9}.

Worked example

Not a multiple of 4

A deck has 2020 cards numbered 11 to 2020, with one number on each card. The cards look the same from the back. You shuffle them, place them face down and pick one. What is the probability that the number is not a multiple of 44?

  1. The cards look the same from the back, so each of the 20 cards is equally likely to be picked. Start with the event that is quicker to count. The multiples of 4 from 1 to 20 are 4, 8, 12, 16 and 20, which gives 5 favourable outcomes out of 20. Dividing the numerator and the denominator by 5 keeps the value of the fraction.

    P(multiple of 4)=520=5÷520÷5=14P(\text{multiple of } 4) = \frac{5}{20} = \frac{5 \div 5}{20 \div 5} = \frac{1}{4}
  2. The event "not a multiple of 4" is the complement, so the two probabilities add up to 1. Subtract from 1, writing 1 as 4 quarters.

    P(not a multiple of 4)=1−14=44−14=34P(\text{not a multiple of } 4) = 1 - \frac{1}{4} = \frac{4}{4} - \frac{1}{4} = \frac{3}{4}
  3. Check by counting. There are 20 - 5 = 15 cards that are not multiples of 4. Dividing 15 and 20 by 5 gives the same fraction as before.

    1520=15÷520÷5=34\frac{15}{20} = \frac{15 \div 5}{20 \div 5} = \frac{3}{4}

Answer

The probability that the number is not a multiple of 44 is 34\frac{3}{4}.

Here is the idea to keep. When the outcomes in a sample space are equally likely, the probability of a simple event is the number of favourable outcomes divided by the total number of outcomes, and the answer is always from 00 to 11. The probabilities in a model add up to 11, so any event AA and its complement share that whole: P(not A)=1−P(A)P(\text{not } A) = 1 - P(A).

Next, you will compare probabilities to decide which event is more likely, and you will use probabilities to make predictions.