Lecture 1. Introduction to Probability

In this lecture, we introduce the concept of probability and some terminologies required to understand the concept were illustrated. 

Week 7: (22 January to 28 January 2024)

Lecture 1. Some Terms I

In this lecture, some terminologies required to understand the concept of probability were illustrated.

Lecture 2. Some Terms II

In this lecture, some terminologies required to understand the concept of probability were illustrated.

Lecture 3. Definition of Probability with Examples

In this lecture, we provide the classical definition of probability and some examples were illustrated to understand the concept.

Lecture 4. Illustrative Examples on Probability

In this lecture, some examples were illustrated to understand the concept of computation of probability.

Week 8: (29 January to 04 February 2024)

Lecture 1. Combination of Events and Addition Law

In this lecture, we illustrate the operations of combination of events and addition law of probability is given.

Lecture 2. Examples on Addition Law

In this lecture, some examples were illustrated to understand the application of addition law of probability.

Lecture 3. Conditional Probability and Multiplication Law

In this lecture, we will learn the concept of conditional probability and multiplication law of probability.

Lecture 4. Examples on Conditional Probability and Multiplication Law

In this lecture, we will illustrate some examples to understand the conditional probability and application of multiplication law of probability.

Lecture 5. Miscellaneous Examples

In this lecture, some other examples on probability were illustrated to understand the probability.

Week 9: (05 February to 11 February 2024)

Lecture 1. Concept of Random Variable and Probability Distribution 

In this lecture, we will learn the concept of random variable and probability distribution.

Lecture 2. Binomial Distribution : Definition and Properties

In this lecture, we will learn the Binomial distribution : definition and some properties.

Lecture 3. Examples on Binomial Distribution

In this lecture, some examples on computation of probabilities using Binomial distribution and finding the parameters of Binomial distribution were illustrated.

Week 10: (12 February to 18 February 2024)

Lecture 1. Introduction to Normal Distribution 

In this lecture, we will introduce the normal distribution and its probability density function (p.d.f.).

  Lecture 2. 

Lecture 2. Properties and Definition of Standard Normal Distribution 

In this lecture, we will state the properties of normal distribution along with concept of standard normal distribution.