Probability is a number between 0 and 1 that measures how likely an event is to happen. A probability of 0 means the event is impossible, 1 means it is certain, and values in between show how likely it is. For example, 0.5 means the event is as likely to happen as not.
The formula to calculate probability when all outcomes are equally likely is
\text{Probability} = \dfrac{Favourable \ Outcome}{Total \ Number \ of \ Outcomes}
- Favorable outcomes refer to the outcome we are interested in.
- Total outcomes represent the complete set of possible results an event can produce.
Below are a few examples illustrating the concept of probability in different situations:
Examples of Probability
What are the chances of the following events when we pick a random number from 1 to 10 ?
- The number is divisible by 1
100% are divisible by 1, as all numbers are completely divisible by 1, so we say probability is 1.
- The number is divisible by 11
0% are divisible by 11, as none of the numbers from 1 to 10 is divisible by it. All of them are smaller than 11, so the probability is 0.
- The number is divisible by 2
50% are divisible by 2, the favorable outcomes are 2, 4, 6, 8, 10, so we say probability is 1/2.
- The number is divisible by 5
20% are divisible by 5, the favorable outcomes are 5, 10, so we say probability is 1/5.
Why Learn Probability?
- Improves decision-making by helping us choose the best option when outcomes are uncertain.
- Probability is useful in real life, including weather forecasting, insurance, sports, medicine, and business.
- It develops logical thinking by improving reasoning and problem-solving skills.
- Probability is essential for data science and AI, as machine learning, artificial intelligence, and statistics rely heavily on it.
Probability for Beginners
Learn the basic ideas and applications of probability.
- Basic Concepts
- Types of Events
- Properties of Probability
- Conditional Probability
- Multiplication Theorem
- Theorem of Total Probability
- Bayes' Theorem
- Important Formulas
- Practice: Easy | Medium | Hard
Popular Probability Problems
Problems that appear most often in exams and interviews.
For Aptitude Preparation
Practice probability questions commonly asked in exams.
Probability and Randomization
Explore advanced probability concepts and distributions.
- Random Variable
- Probability Distribution
- Expected Value
- Linearity of Expectation
- Binomial Distribution
- Geometric Distribution
- Poisson Distribution
Probability for Different Domains
See how probability is used in different fields.
For Programmers
Apply probability concepts in programming problems.