Probability

This topic covers the definition and explanation of conditional probability, its formulas and properties with the aid of solved examples. It also includes the multiplication theorem on probability with a proof provided for better understanding.

In this topic, we will discuss the occurrence and non-occurrence of events if they do not affect the probability of each other. Different theorems related to independent events are discussed here in detail.

This topic explains how to find reverse probability by using conditional probability known as Bayes theorem. It was developed by John Bayes and includes explanations and examples of partition of sample space and theorem of total probability.

In this topic, we will learn to find the probability distribution of a random variable with the mean and variance of a random variable through many illustrative examples.

This topic deals with the concept of Bernoulli trials and the binomial distribution. Examples and exercises are given to make us understand the concept thoroughly.