Match the concepts mentioned in class to their respective meanings. Enter the concept number in the corresponding meaning box. 1. Contains only a finite or countable number of elements. 2. We obtain the cumulative probability up to a desired value of the random variable through this function. 3. Measure of the association between two random variables expressed in the variable scale. 4. Value of the center of mass of the probability distribution. 5. P[(X=x)∩(Y=y)]

MATLAB: An Introduction with Applications
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Match the concepts mentioned in class to their respective meanings.
Enter the concept number in the corresponding meaning box.

1. Contains only a finite or countable number of elements.
2. We obtain the cumulative probability up to a desired value of the random variable through this function.
3. Measure of the association between two random variables expressed in the variable scale.
4. Value of the center of mass of the probability distribution.
5. P[(X=x)∩(Y=y)]
6. It quantifies the association between two random variables on a dimensionless scale (without units), always with values between -1 and 1.
7. The joint probabilities are equal to the product of the corresponding marginal probabilities.
8. Assign probabilities to each of the possible values of v.a. discreet.

 

a. Independent random variables. 
b. Joint distribution. 
c. Discrete sample space
d. Hope. 
e. Correlation
f. Cumulative distribution function. 
g. Covariance
h. Probability function.

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