Chapter 5 Joint Probability Distributions and Random Samples


Computational formula for covariance



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Computational formula for covariance




Cov (X,Y) = E [XY] - E [X] E[Y] ,or

Cov (X,Y) = E [XY] - xy

Ex.13 Find the covariance between X and Y in Example 1. (X = number of defective welds)


Sol. Cov. (X, Y) = E [XY] - E [X] E [Y]

= 0.064 - (0.12) (0.148) = 0.046


Ex.14 The covariance between X, an individual’s blood calcium level, and Y, his or her blood cholesterol level, is

Cov (X,Y) = E [XY] - E [X] E [Y]

= 1710 - 9.5 (180) = 0

Correlation


While covariance measures the direction of the association between 2 random variables, the correlation measures the strength of the association.

Def. The correlation coefficient of X and Y,



Corr (X, Y) = x,y =  = =


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