15.1The probability density function of the X and Y compound random variables is given below.
X Y |
1 |
2 |
3 |
|||
1 |
|
|
84 |
|||
2 |
|
|
161 |
|||
3 |
39 |
192 |
157 |
Accordingly, after finding the possibilities for each value, the expected value, variance and standard deviation; Interpret the asymmetry measure (a3) when the 3rd moment (µ3 = 0.0005) according to the arithmetic mean and the kurtosis measure (a4) when the 4th moment (µ4 = 0.004) according to the arithmetic mean. Then, find the covariance (Cov (X, Y)) and the Pearson correlation coefficient (rxy) to determine whether the variables x and y are independent.
15.2 The necessity of X and Y continuous random variables works continuously.
fx=cx2y1+y 0 ≤x≤3 ve 0 ≤y≤30 in other cases
Accordingly, after finding the possibilities for each value, the expected value, variance and standard deviation; Interpret the asymmetry measure (a3) when the 3rd moment (µ3 = 0.0005) according to the arithmetic mean and the kurtosis measure (a4) when the 4th moment (µ4 = 0.004) according to the arithmetic mean. Then, find the covariance (Cov (X, Y)) and the Pearson correlation coefficient (rxy) to determine whether the variables x and y are independent.
*** Note , your question both 1 and 2 are incorrect because the question 2 does not proof to be an pdf ,,,,!!!!!.. just clear about your question, and properly upload it.
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