Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
An Event is a subset of the sample space . Every outcome in the event is called a 'favorable outcome'.
The Complementary Event (or 'not ') consists of all outcomes in that are not in . Mathematically, .
The Union of Events (Event ' or ') represents the occurrence of at least one of the events or .
The Intersection of Events (Event ' and ') represents the simultaneous occurrence of both events and .
The Difference of Events (Event ' but not ') includes outcomes which are in but not in . Note that .
Mutually Exclusive Events: Two events and are mutually exclusive if they cannot occur at the same time, i.e., .
Exhaustive Events: Events are exhaustive if their union is equal to the sample space , i.e., .
📐Formulae
soulution for the Addition Theorem.
(Distributive Law)
(De Morgan's Law)
(De Morgan's Law)
💡Examples
Problem 1:
In an experiment of rolling a fair die, let be the event of getting an even number and be the event of getting a multiple of . Find and .
Solution:
The sample space is . Event and Event . To find , we combine all elements: . To find , we look for common elements: .
Explanation:
Union represents 'either or both', while intersection represents 'only common elements'.
Problem 2:
If , , and , calculate the probability that neither nor occurs.
Solution:
First, find :
The event 'neither nor ' is . .
Explanation:
The probability of the complement of the union gives the probability that none of the events occur.
Problem 3:
Calculate the total number of favorable outcomes for if , , and .
Solution:
Using the principle of inclusion-exclusion: .
Explanation:
We add the elements of both sets and subtract the intersection to avoid double-counting.