Probabilities of Combined Events using the Rules (College Board AP® Statistics)
Study Guide
Written by: Dan Finlay
Reviewed by: Lucy Kirkham
Probabilities of combined events
What are the useful rules for calculating probabilities of combined events?
You should be able to use the following rules:
Rule | Formula |
---|---|
Complementary events formula | |
Addition rule | |
Multiplication rule | |
Partition rule | |
Conditional probability formula |
The conditional probability formula can be rewritten so that it can be used in various scenarios depending on which probabilities you are given in a question
Using the partition rule on the denominator gives you
Using the multiplication rule on each term gives you
This is called Bayes' theorem
Examiner Tips and Tricks
Exam questions tend to help you through trickier problems. For example, they might ask you to find before finding .
How can I calculate probabilities without using a tree diagram?
Rewrite the event using the possible outcomes and the words "not", "and" and "or"
The word "not" means you subtract the probability from 1
The word "or" means you add the probabilities
This is because the outcomes are mutually exclusive
The word "and" means you multiply the probabilities
This might involve conditional probabilities
For example, consider the following events when three counters are chosen from a bag
, and are the events that the first, second and third counter chosen is blue, respectively
Event | Rephrased | Calculation |
---|---|---|
All the chosen counters are blue | Blue and blue and blue | |
Exactly two chosen counters are blue | Blue and blue and not blue blue and not blue and blue or not blue and blue and blue | |
At least one chosen counter is blue | Not: not blue and not blue and not blue |
How do I find probabilities of independent events?
To find the probability of two independent events occurring at the same time
multiply the probability of one event occurring by the probability of the other event occurring
This can be extended to any number of independent events by multiplying the probabilities of all the events together
This is useful when a trial is repeated multiple times
e.g. the probability that a fair coin always lands on tails when flipped 5 times is
Check to see if there are multiple outcomes for an event
e.g. there are six ways of selecting a blue, red and yellow counter when selecting three counters from a bag
BRY, BYR, RBY, RYB, RBY, RYB
If the probabilities of each outcome are equal then you can just multiply the probability of one outcome by six
Worked Example
Three friends, Rachel, Monica and Phoebe, live in separate apartments. The probabilities of each person getting a visitor to their apartment on any given day are 0.7, 0.6 and 0.1 respectively. A friend getting a visitor is independent of the other friends getting visitors.
What is the probability that at least one of the three friends gets a visitor to their apartment on a random day?
Answer:
Let represent the event that Rachel gets a visitor
Let represent the event that Monica gets a visitor
Let represent the event that Phoebe gets a visitor
At least one of the friends getting a visitor has multiple options including , , , etc.
It is quicker to consider the event where none of the friends get a visitor as this is the complementary event
A friend getting a visitor is independent of either of the other friends getting a visitor, therefore you can find the probability by multiplying the probabilities of not getting a visitor together
Subtract this from 1
The probability that at least one of the three friends gets a visitor to their apartment on a random day is 0.892
Worked Example
Joey works at a coffee house where customers can either order a cappuccino or a latte. 70% of customers order cappuccinos and the rest order lattes. There is a 60% chance that Joey gets the order incorrect if a customer orders a cappuccino. There is a 25% chance that Joey gets the order incorrect if a customer orders a latte.
(a) What is the probability that Joey gets a customer's order incorrect?
Answer:
Let represent the event that Joey gets the order incorrect
Let represent the event that the customer orders a cappuccino
Let represent the event that the customer orders a latte
Identify the probabilities given in the question
There are two outcomes that involve Joey getting the order incorrect
The customer ordered a cappuccino or the customer ordered a latte
Use the partition rule to write the probability that Joey gets the order incorrect as the sum of the probabilities of the two relevant outcomes
The conditional probabilities for Joey getting the order incorrect are known for each drink
Rewrite the probability of each outcome using the multiplication rule
Substitute the probabilities into the formula
The probability that Joey gets a customer's order incorrect is 0.495
(b) Given that Joey gets a customer's order incorrect, what is the probability that they ordered a cappuccino?
Answer:
The required probability is
To use the conditional probability formula is needed
Rewrite this probability using the multiplication rule in the same way as the previous part
Use the conditional probability formula and the answer from the previous part
Given that Joey gets a customer's order incorrect, the probability they ordered a cappuccino is (roughly 0.848)
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