8. Let X and Y be discrete loss random variables with joint density function: Y 24x fxy(x, y) = . x = 1,2,4, y = 2,4,8 x ≤y An insurance policy pays the full amount of the loss variable X and half of the variable Y. Find the probability that the total amount paid by the insurer is not greater than 5. calculate the marginal density functions of the random vector.

A First Course in Probability (10th Edition)
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ФЫ В А ПРО» В А П Р О Л ДЗАПРОЛДЖЭ
ЯЧСМИТНЧСМИТЬБНСМИТЬБЮ
SOLVE STEP BY STEP IN DIGITAL FORMAT
8. Let X and Y be discrete loss random variables with joint density function:
У
fxy(x,y) = x = 1, 2, 4, y = 2, 4,8 x < у
24x
An insurance policy pays the full amount of the loss variable X and half of the variable Y. Find the probability that the total
amount paid by the insurer is not greater than 5.
.
calculate the marginal density functions of the random vector.
ЙЦУКЕНГШУКЕНГШ Щ ЭКЕНГШЩЗхъ
Transcribed Image Text:ФЫ В А ПРО» В А П Р О Л ДЗАПРОЛДЖЭ ЯЧСМИТНЧСМИТЬБНСМИТЬБЮ SOLVE STEP BY STEP IN DIGITAL FORMAT 8. Let X and Y be discrete loss random variables with joint density function: У fxy(x,y) = x = 1, 2, 4, y = 2, 4,8 x < у 24x An insurance policy pays the full amount of the loss variable X and half of the variable Y. Find the probability that the total amount paid by the insurer is not greater than 5. . calculate the marginal density functions of the random vector. ЙЦУКЕНГШУКЕНГШ Щ ЭКЕНГШЩЗхъ
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