Probability is the branch of mathematics where we determine how likely an event is to occur. It is represented as a numeric value ranging from 0 to 1. Probability can be calculated as:

Probability=Favourable OutcomeTotal Number of OutcomesProbability=Total Number of OutcomesFavourable Outcome​

Total outcomes represent the complete set of possible results an event can produce.

Favourable outcomes refer to the outcome we are interested in.

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 number is divisible by 11 as they are greater, so we say probability is 0.
• The number is divisible by 2
  50% are divisible by 2, numbers like (2, 4, 6, 8, 10), so we say probability is 1/2.
• The number is divisible by 5
  20% are divisible by 5, numbers like (5 and 10) so we say probability is 1/5.

Probability for Beginners

In this section, you will explore the fundamental concepts of probability, key formulas, conditional probability, and Bayes’ Theorem. By the end, you’ll have a clear understanding of how probability is applied in real-life situations and develop the skills needed to solve related problems.

• Basic Concepts of Probability
• Probability Formulas
• Events in Probability
• Conditional Probability
• Bayes’ Theorem
• Real-Life Applications of Probability

Probability for Aptitude Preparation

Probability-based questions are commonly asked in various examinations, such as placement tests and government-related exams. In this section, we will explore these types of questions, along with tricks and shortcuts to solve them quickly. Additionally, we will cover some interesting facts about probability to enhance your aptitude preparation.

• Probability Tricks
• Interesting Facts on Probability
• Probability – Aptitude Questions

Probability Practice Questions

• Easy Level Probability Questions
• Medium-Level Probability Questions
• Hard-Level Probability Questions
• Binomial Distribution Practice
• Conditional Probability Practice
• Probability Quiz

Probability for Programmers

For coders who wish to implement probability concepts in a specific programming language, this section covers key topics such as reaching points in steps, maximum sums, arithmetic progressions, and the Birthday Paradox.

• Probability of reaching a point in 2 or 3 steps
• Probability of the maximum weighted pair
• Probability of maximum sum in an array
• Probability of numbers in AP
• Birthday Paradox
• Probability of reaching all points in N moves

Advanced Topics on Probability

This section covers advanced probability topics, including random variables, Poisson and binomial distributions, and probability distribution functions.

• Probability Theory
• Random Variable
• Poisson Distribution
• Probability Distribution
• Probability Distribution Function
• Binomial Distribution
• Geometric Distribution
• Marginal Distribution

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