The data for the joint probability mass function of X and Y (two different mechanical propeties of a material) are given in the table below. a) Calculate the marginal distributions of X and Y and plot them. b) Find the means (expected values) of X and Y. c) Find the conditional probability mass function of Y when X=3 and plot it. d) Calculate the covariance of (X,Y) i.e. Cov(X,Y).

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Chapter1: Combinatorial Analysis
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Fourth letter of my surname is "İ".

|(For H,1,İ)
Y
f(x,y)
1
2
3
4
1
0.10
0.10
2
0.10
0.10
3
0.05
0.05
0.05
0.05
0.15
0.10
0.15
Transcribed Image Text:|(For H,1,İ) Y f(x,y) 1 2 3 4 1 0.10 0.10 2 0.10 0.10 3 0.05 0.05 0.05 0.05 0.15 0.10 0.15
The data for the joint probability mass function of X and Y (two different mechanical propeties of a
material) are given in the table below.
a) Calculate the marginal distributions of X and Y and plot them.
b) Find the means (expected values) of X and Y.
c) Find the conditional probability mass function of Y when X=3 and plot it.
d) Calculate the covariance of (Xx,Y) i.e. Cov(X,Y).
Please check the fourth letter of your surname.
Transcribed Image Text:The data for the joint probability mass function of X and Y (two different mechanical propeties of a material) are given in the table below. a) Calculate the marginal distributions of X and Y and plot them. b) Find the means (expected values) of X and Y. c) Find the conditional probability mass function of Y when X=3 and plot it. d) Calculate the covariance of (Xx,Y) i.e. Cov(X,Y). Please check the fourth letter of your surname.
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