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

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Hindi

(Hindi) 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. Topics to cover in the course

Introduction to the course (in Hindi)

Set theory, Venn diagram, various types of symbols. Basics experiment and their outcomes

Prerequisites of the course ( in Hindi)

Basics of Permutation and combination. Important results and identities.

Elementary Permutation and Combination( in Hindi)

Worked out examples of Permutation and combination.

Practice Part 1 (in Hindi)

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

Basic terms and definitions (in Hindi)

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

Basic terms and definitions part 2 (in Hindi)

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

Probability definition and Axioms (in Hindi)

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

Addition Law of Probability and it's Proof (in Hindi)

Quick review to basics of probability. Practice questions related to experiment of throwing die(ce).

Practice Part 2 (in Hindi)

Practice questions related to experiment of combination and arrangement.

Practice Part 3 (in Hindi)

Practice questions related to addition law.

Practice Part 4 (in Hindi)

Concept of conditional probability, proof of conditional probability expression, and multiplication law of probability.

Conditional Probability and multiplication law(in Hindi)

Multiplication law for independent events and some results related to the concept and their proofs.

Multiplication law for independent events (in Hindi)

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

Practice part 5 (in Hindi)

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

Practice part 6 (in Hindi)

Baye's Rule statement, proof, and concept of Bayesian method.

Bayes theorem (in Hindi)

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

Practice part 7 (in Hindi)

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

Statistics: Introduction (in Hindi)

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

Random variables : Classification (in Hindi)

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

Mathematical Expectation ( in Hindi )

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

Variance and Co-Variance( in Hindi )

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

Practice Part 8 (in Hindi)

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

Practice Part 9 (in Hindi)

Cumulative distribution function for continuous and discrete random variables.

Cumulative Distribution Function(in Hindi)

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

Practice Part 10 (in Hindi)

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

Practice Part 11 (in Hindi)

Practice questions related to cumulative distribution function.

Practice Part 12 (in Hindi)

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

Discrete Probability Distribution (in Hindi)

Problems based on Discrete Probability Distribution (Binomial distribution).

Practice Part 13 (in Hindi)

Problems based on Discrete Probability Distribution (Poisson distribution).

Practice Part 14 (in Hindi)

Continuous Probability Distribution : Uniform distribution

Uniform Probability Distribution (in Hindi)

Continuous Probability Distribution : Exponential distribution

Exponential Distribution (in Hindi)

Normal Distribution (in Hindi)

Practice questions related to Normal Distribution

Practice Part 15 (in Hindi)

Gamma Function: Mathematical expression and application

Gamma Function (in Hindi)

Practice Part 16 (in Hindi)

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

Mentored 81,000+ Students | My Multiple Students secured AIR Below 100 in GATE | Joined top IISc, IITs & NITs | Joined PSUs | 5+ Years Exp.

Sweta Kumari

This course will cover everything related to the concepts of Probability and GATE Previous Year Questions on this topic also has been discussed in this course.

(Hindi) Probability Concepts and PYQs: GATE (CS/IT)

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

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

Lessons

36 lessons • 5h 4m

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Introduction to the course (in Hindi)

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Prerequisites of the course ( in Hindi)

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Elementary Permutation and Combination( in Hindi)

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Practice Part 1 (in Hindi)

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Basic terms and definitions (in Hindi)

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Basic terms and definitions part 2 (in Hindi)

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Probability definition and Axioms (in Hindi)

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Addition Law of Probability and it's Proof (in Hindi)

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Practice Part 2 (in Hindi)

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Practice Part 3 (in Hindi)

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