Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Theoretical Probability: The probability of an event is defined as the ratio of the number of outcomes favorable to to the total number of equally likely outcomes in the sample space. Visually, imagine a circle representing all possible outcomes; the event is a shaded slice of that circle.
Sample Space and Outcomes: The sample space is the set of all possible results of a random experiment. For example, when tossing two coins, the visual representation is a tree diagram with four branches: , , , and . Each unique result is an 'outcome'.
Equally Likely Outcomes: Outcomes are equally likely if each has the same chance of occurring. For instance, a fair six-sided die, visually represented as a cube with dots to , has a probability for each face.
Range of Probability: The probability of any event is a real number such that . On a horizontal number line (a visual probability scale), represents an 'Impossible Event' (far left), represents an 'Even Chance' (middle), and represents a 'Sure Event' (far right).
Complementary Events: For any event , the event 'not ' (denoted as ) is called its complement. Together, they cover the entire sample space. Visually, if is a circle inside a rectangular box (the sample space), then is everything inside the box that is outside the circle.
Elementary Events: An event having only one outcome of the experiment is called an elementary event. The sum of the probabilities of all the elementary events of an experiment is exactly .
Playing Cards Composition: A standard deck contains cards divided into suits: Spades and Clubs (Black), and Hearts and Diamonds (Red). Each suit has cards. Visually, there are 'face cards' in a deck (Kings, Queens, and Jacks), which are often depicted with illustrations rather than numbers.
📐Formulae
💡Examples
Problem 1:
A bag contains red balls and black balls. If a ball is drawn at random from the bag, what is the probability that the ball drawn is (i) red? (ii) not red?
Solution:
Step 1: Find the total number of outcomes. Total balls in the bag = . So, . Step 2: Find the probability of drawing a red ball. Number of red balls . Step 3: Find the probability of not drawing a red ball using the complement rule.
Explanation:
The problem uses the basic probability formula for the first part and the concept of complementary events for the second part to simplify the calculation.
Problem 2:
A single fair die is thrown once. Find the probability of getting (i) a prime number and (ii) a number lying between 2 and 6.
Solution:
Step 1: Identify the sample space. For a die, , so . Step 2: (i) Identify prime numbers in the sample space. Prime numbers are . Number of favorable outcomes . Step 3: (ii) Identify numbers between 2 and 6. The numbers are . Number of favorable outcomes .
Explanation:
This example requires identifying subsets of the sample space that satisfy specific conditions (primality and range) before applying the probability formula.