Multiplication Rule & Independent Events (College Board AP® Statistics)
Study Guide
Written by: Dan Finlay
Reviewed by: Lucy Kirkham
Multiplication rule
What is the multiplication rule?
The multiplication rule is used to find the probability of the intersection of two events
i.e. the probability that both events occur
To find the probability of and you can:
either multiply the probability of occurring by the probability of occurring given that has occurred
or multiply the probability of occurring by the probability of occurring given that has occurred
or
These formulas can be derived by rearranging the conditional probability formula
Examiner Tips and Tricks
Look out for scenarios that involve sampling without replacement. These could involve conditional probabilities.
Worked Example
Chad has 25 comic books, 12 of which involve the superhero Dr Data. Chad chooses two different comic books at random to take on vacation with him.
Calculate the probability that both of the chosen comic books involve Dr Data.
Answer:
Calculate the probability that the first chosen comic book involves Dr Data
There are 25 choices and 12 of them involve Dr Data
The first comic book is not replaced once chosen, therefore the probability for the second comic book is a conditional probability
Calculate the probability that the second comic book involves Dr Data given that the first one does
If the first chosen comic involves Dr Data then there are 24 comics remaining and 11 of them involve Dr Data
Find the probability that both comics involve Dr Data by using the multiplication rule
The probability that both of the chosen comic books involve Dr Data is (or 0.22)
Independent events
What are independent events?
Independent events are events that are not affected by the occurrence of each other
The probability of an event occurring does not change if the other event has occurred
e.g. rolling a six on a dice and a coin landing on tails are independent events
e.g. rolling a six and rolling an even number on the same dice roll are not independent events
How can I check whether two events are independent?
If and are independent events then and
The multiplication rule for independent events simplifies to
This can be extended to more than two events
e.g. if , and are independent events then
To check whether and are independent, check if one of the following equivalent statements is true:
Examiner Tips and Tricks
Do not assume two events are independent unless you are told in the question!
Worked Example
A college lecturer surveys a large group of first-year students about their accommodation. Students are asked whether they live on campus or live elsewhere. They are also asked whether they have a private or shared bathroom. The relative frequency of each category is shown in the table.
Private bathroom | Shared bathroom | Total | |
---|---|---|---|
Campus | 0.232 | 0.416 | 0.648 |
Elsewhere | 0.098 | 0.254 | 0.352 |
Total | 0.330 | 0.670 | 1.000 |
For the students surveyed, are the events of living on campus and having a private bathroom independent? Justify your answer.
Answer:
Identify the relevant probabilities
There are three methods to check whether two events are independent
Method 1: Checking
Calculate the probability that a student lives on campus given that they have a private bathroom
Use the formula
Compare this to the probability that a student lives on campus
The events of living on campus and having a private bathroom are not independent because
Method 2: Checking
Calculate the probability that a student has a private bathroom given that they live on campus
Use the formula
Compare this to the probability that a student has a private bathroom
The events of living on campus and having a private bathroom are not independent because
Method 3: Checking
Multiply together the probability that a student lives on campus and the probability that a student has a private bathroom
Compare this to the probability that a student lives on campus and has a private bathroom
The events of living on campus and having a private bathroom are not independent because
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