Lesson 34 of 33 • 4 upvotes • 15:00mins
In this video we talk about Random Variable :continuous and discrete, Probability distribution Function, Mean and Variance and Standard deviation of Random Variable.Cumilative distribution. examples
33 lessons • 5h
Overview
5:06mins
Matrices
8:33mins
Matrix Multiplication
6:52mins
Inverse Of a Matrix
8:29mins
Special Matrices
5:26mins
Vectors
7:01mins
Concept Of Basis
9:56mins
Dot Product
7:35mins
Determinant
6:11mins
Adjoint Of A Matrix
5:26mins
Cross Product
9:45mins
Previous Year Questions On Matrices, Vectors & Determinants
12:50mins
Eigen Vectors
7:58mins
Previous year question on Eigenvalue
3:13mins
Maxima & Minima 1
14:26mins
Maxima and Minima 2
14:21mins
Previous Year IIT JAM Question On Maxima & Minima
4:15mins
Indefinite Integral
10:24mins
Definite Integral
12:46mins
Previous Year IIT JAM question on Definite integral
3:58mins
Introduction to Differential Equation
14:09mins
First Order Differential Equations
9:30mins
Linear First Order Differential Equations
7:17mins
Homogeneous First Order Differential Equations
8:09mins
Bernoulli Equation
8:28mins
Exact Equations
6:17mins
Previous Question On Differential Equations
4:43mins
Basic Statistics
14:16mins
Basic Statistics II
10:35mins
Probability Theory
14:41mins
Probability Theory II
14:40mins
Probability Theory :Counting Techniques
8:02mins
Random Variables
15:00mins