Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Conditional probability is the probability of an event occurring given that another event has already occurred. It is denoted as .
The 'given' event effectively restricts the sample space to only those outcomes contained in .
Two events and are considered independent if the occurrence of one does not change the probability of the other. This can be tested using or .
Tree diagrams are frequently used in IB AI to represent conditional probabilities. The first set of branches shows and , while the second set shows and .
A contingency table (two-way table) can be used to calculate conditional probabilities by looking at the specific row or column corresponding to the 'given' condition.
📐Formulae
(The Multiplication Rule)
(Condition for independence)
(Alternative condition for independence)
💡Examples
Problem 1:
In a class of 30 students, 18 study Biology (), 15 study Chemistry (), and 8 study both. A student is selected at random. Find the probability that the student studies Biology, given that they study Chemistry.
Solution:
We are looking for . From the information given: Using the formula for conditional probability based on frequencies:
Explanation:
To find , we only consider the group of students who study Chemistry (the denominator). Within that specific group, we count how many also study Biology (the numerator).
Problem 2:
Given that , , and , determine if events and are independent.
Solution:
First, find using the addition rule:
Now, check the condition for independence :
Since and , the values are equal.
Explanation:
Because the probability of the intersection is equal to the product of the individual probabilities, events and are independent.
Problem 3:
A bag contains 5 red balls and 3 blue balls. Two balls are drawn one after the other without replacement. Find the probability that the second ball is blue, given that the first ball was red.
Solution:
Let be the event that the first ball is red and be the event that the second ball is blue. Initially, there are balls. If the first ball is red, it is not replaced. Now the bag contains: red balls blue balls Total balls remaining
Explanation:
Without replacement means the total count and the count of the specific color change for the second draw. The probability is calculated based on the state of the bag after the first event has occurred.