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Karl Pearson's Correlation Coefficient
Lesson 13 of 16 • 4 upvotes • 8:47mins
Sugantha Haridass
Correlation coefficient between 2 random variables X and Y is usually denoted by r(X, Y) is a numerical measure of linear relationship between them. It may also be denoted by P(X, Y).
Applied Mathematics for Communication Engineers: ISRO ICRB
16 lessons • 2h 55m
1
Linear Programming Problem Using Simplex Method
12:49mins
2
Linear Programming Problem Using Graphical Method
9:46mins
3
Transportation Problem by North West Corner Method
9:00mins
4
Big M Method or M Technique
15:00mins
5
Transportation Problem by Least Cost Method
9:47mins
6
QR Factorization
12:54mins
7
The Runge Kutta Methods
13:47mins
8
Runge Kutta Methods for Solving Simultaneous Differential Equations
10:12mins
9
Solving Second Order Differential Equation using Runge Kutta Method
9:06mins
10
Milne's Predictor - Corrector Method
12:07mins
11
Vogel's Approximation Method - (VAM) for Transportation Problems
14:21mins
12
Adams Bashforth Predictor and Corrector Method
8:44mins
13
Karl Pearson's Correlation Coefficient
8:47mins
14
Variance(X), Variance(Y), Covariance Between X and Y.
9:46mins
15
Correlation Coefficient for Uncorrelated Random Variables
10:55mins
16
Correlation Coefficient of Joint Probability Density Function
8:48mins
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