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.
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 to . An impossible event has probability , and a certain event has probability . The closer a probability is to , the more likely the event is.
You write for "the probability of the event".
Take a fair number cube with six faces numbered to . 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 faces, and a certain event has probability . The equally likely faces share that equally, so each face gets .
Now choose an event: "roll a number greater than ". The outcomes that make an event happen are its favourable outcomes. Here they are and . Only one face can land on top, so the probability of the event is the sum of those two shares: . Dividing the numerator and the denominator by the same nonzero number, here , keeps the value of the fraction, so .
Look at what compares: favourable outcomes with outcomes in all. The same reasoning works whenever every outcome in the sample space is equally likely. The rule below says this in symbols.
Worked example
One spin of a numbered spinner
A spinner has equal sections numbered to , 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 ?
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.
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.
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.
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.
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.
Answer
The probability that the pointer stops on a number greater than is .
Outcomes are not always numbers. A bag holds marbles of the same size and feel: red, blue and green. You shake the bag and draw one marble without looking. What is ?
First decide which outcomes are equally likely. You cannot see or feel any difference between the marbles, so each of the marbles is as likely to come out as any other. Use the individual marbles as your sample space.
The event "blue" happens when you draw any one of the blue marbles. It has favourable outcomes out of equally likely outcomes, so . 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.
| Event | Number of favourable marbles | Probability |
|---|---|---|
Red | ||
Blue | ||
Green | ||
Red, blue or green |
Now look at a new event for the same bag: "not blue". It contains every outcome that is not in the event "blue": the red marbles and the 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, of the equally likely marbles are not blue, so .
There is a second way to find . A sample space together with the probability of each outcome is a probability model. For the bag, the model is the marbles, each with probability . In every probability model, the probabilities of all the outcomes add up to , because one of the outcomes is certain to happen. The last row of the table shows this total: .
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:
Subtracting from both sides keeps the equation true. Write as so that both fractions have the denominator :
Both ways agree.
Key concept
Probability of an event and of its complement
Let stand for any event. When all the outcomes in the sample space are equally likely, is the number of favourable outcomes divided by the total number of outcomes. Every probability is at least and at most , and the probabilities of all the outcomes in a model add up to .
The complement of , written "not ", contains every outcome that is not in . Each outcome is in or in "not ", never both, so . Subtracting from both sides gives the rule below. Because is from to , the answer is also from to .
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?
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.
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.
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.
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.
Answer
The probability that the tile is not an E is .
Worked example
Not a multiple of 4
A deck has cards numbered to , 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 ?
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.
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.
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.
Answer
The probability that the number is not a multiple of is .
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 to . The probabilities in a model add up to , so any event and its complement share that whole: .
Next, you will compare probabilities to decide which event is more likely, and you will use probabilities to make predictions.