I am an E&Tc Engineer, technical freelancer, I like to teach, write, explore new places. 

Vinod Singh Jadon

This course covers all the topics related to Probability and Statistics with a keen focus on various competitive exams.
This course will be helpful to the students who are studying and learning mathematics.
Engineering mathematics and 10+2

GATE (Graduate Aptitude Test in Engineering) 2020 & 2021 complete preparation with best educators. Know about the detailed syllabus, best books, exam pattern and dates, previous year question papers a

GATE - Iconic Pro

English

Probability And Statistics: GATE (General Aptitude)

Probability & Distribution

Engineering Mathematics

GA, GS and Mathematics

GATE & ESE - ME & CH

GATE, ESE and IIT-JAM

Ace the toughest competitive and government exams in India 

Test Preparation

Introduction to the course of Probability and Statistics. Topics to cover in the course.

Introduction to the course

Set theory, Venn diagram, various symbols and prerequisites of the course. Common types of experiments and their outcomes.

Prerequisites of the course

Basics of Permutation and combination. Important results and identities.

Elementry Permutation and combination

Worked out examples of Permutation and combination.

Practice Part 1

Terms and definitions : Random experiment, sample space, event, and exhaustive event.

Basic terms and definitions

Terms and definitions: Mutually exclusive events, equally likely events, and Independent and dependent events.

Basic terms and definitions 2

Definition of probability, Axioms of numerical probability, and complementary rule.

Probability definition and Axioms

Addition law of probability and its proof for two, and three events.

Addition Law of Probability and it's proof

Quick review to basics of probability. Practice questions based on experiment related to die.

Practice Part 2

Practice questions related to experiment of combination and arrangement of objects.

Practice Part 3

Practice questions related to addition law.

Practice Part 4

Conditional probability concept, definition, and proof. Multiplication law of probability.

Conditional Probability and multiplication law

Multiplication law for independent events. Results and proofs related to independent events.

Multiplication law for independent events

Practice questions related to conditional probability and multiplication law for independent events.

Practice part 5

Practice questions related to multiplication law and series problems in probability.
Concept of infinite number of favourable outcomes.

Practice part 6

Bayesian method, Baye's Rule definition, and proof.

Bayes theorem

Practice questions related to Baye's Rule and concept of priori probability, likelihood, and posterior probability.

Practice part 7

Statistics:  Introduction various definition and mathematical expressions with worked out example.

Statistics: Introduction

Random variables : Discrete and continuous random variables. Probability Mass function and Probability Density function, and their properties.

Random variables : Classification

E[X] : Mathematical Expectation of DRV and CRV, its physical interpretation, and properties of mathematical expectation.

Mathematics Expectations

Variance, standard deviation, and covariance : Concept, Mathematical Expression, Proofs, and Important Properties

Variance and Covariance

Problems based on Discrete Random Variable : Calculation of Mathematical Expectation, Variance, and function of random variable.

Practice Part 8

Problems based on Continuous Random Variable : Calculation of Mathematical Expectation, Variance, and function of random variable.

Practice Part 9

Cumulative distribution function for continuous and discrete random variables.

Cumulative Distribution Function

Practice questions related to cumulative distribution function for discrete random variables.

Practice Part 10

Practice questions related to cumulative distribution function for continuous random variables.

Practice Part 11

Problems based on cumulative distribution function.

Practice Part 12

Discrete Probability Distribution : Bernoulli's trials, Binomial distribution, and Poisson distribution.

Discrete Probability Distribution

Problems based on Discrete Probability Distribution (Binomial distribution).

Practice Part 13

Problems based on Discrete Probability Distribution (Poisson distribution).

Practice Part 14

Continuous Probability Distribution : Uniform distribution

Uniform Distribution

Continuous Probability Distribution : Exponential distribution

Exponential Distribution

Normal Distribution

Practice questions related to Normal Distribution

Practice Part 15

Gamma Function, Mathematical expression and application

Gamma Function

Practice questions related to Gamma Function

Practice Part 16

IITian| 7+Yr of Teaching Experience| Join me for Unmatchable learning Experience | Teaches GA, GS & Engineering Mathematics

Aman Raj

In this course, the educator will cover the complete syllabus of Numerical Methods which is asked in Gate And ESE examinations along with previous year Gate Questions.

(Hindi) Complete Course on Numerical Methods: GATE

In this Course complete syllabus of probability for GATE and ESE will be covered in details

(Hindi) Probability : GATE

I have completed B.tech (EC),have done internship in Aricent Technologies Limited,Gate qualified in 2017, currently pursuing M.tech in DC.

Deeksha Varshney

This course covers the concepts of Probability, definition  and axioms of probability.concept of probability distribution and problems based on dice cards ,coin and all GATE previous year problems.

Concept of Probability

Mohan Dangi

In this course, the educator is discussing  some basic concept of probability along with some important questions to clear all the doubts regarding probability which will be helpful for various exams such as GATE ,JEE ,CAT etc.

(Hindi) GATE (Mathematics): Probability

I have completed my bachelor's degree in electronics engineering with first class from Shivaji University. currently I am preparing govt. ex

Shubham Kore

In this course, Shubham shall be discussing Probability model which is quite an important topic for Gate Examination.

(Hindi) Probability Models for GATE Examination

In this Course I will Cover complete Syllabus of Differential Equations with previous year Gate & ESE Questions..

Lessons

36 lessons • 4h 56m

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Introduction to the course

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Prerequisites of the course

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Elementry Permutation and combination

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Practice Part 1

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Basic terms and definitions

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Basic terms and definitions 2

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Probability definition and Axioms

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Addition Law of Probability and it's proof

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Practice Part 2

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Practice Part 3

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