Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Complementary Event: For any event associated with a random experiment, the event 'not ' is called the complement of event . It is denoted by , , or .
The event consists of all outcomes in the sample space that are not in event . In set notation, .
Mutual Exclusivity: Event and its complement are mutually exclusive and exhaustive events, meaning and .
The sum of the probability of an event and the probability of its complement is always equal to .
The probability always lies in the range .
📐Formulae
Or equivalently:
💡Examples
Problem 1:
The probability that it will rain tomorrow is . What is the probability that it will not rain tomorrow?
Solution:
Let be the event that it rains tomorrow. We are given . We need to find . Therefore, .
Explanation:
Using the complement rule, the probability of an event not occurring is minus the probability of the event occurring.
Problem 2:
A card is drawn from a well-shuffled deck of cards. Find the probability that the card drawn is not an Ace.
Solution:
Total number of outcomes . Let be the event of drawing an Ace. There are Aces in a deck, so . The event 'not an Ace' is .
Explanation:
First, calculate the probability of the event occurring, then subtract it from to find the probability of the complement.
Problem 3:
In a single throw of a die, what is the probability of not getting a multiple of ?
Solution:
Sample space , so . Let be the event of getting a multiple of . , so . Probability of not getting a multiple of is :
Explanation:
Identify the outcomes favoring the event, find its probability, and apply the formula for the complementary event.