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uysha [10]
3 years ago
12

X and Y are loss random variables, with X discrete and Y continuous. The joint density function of X and Y is f(x, y) = [(x+1)e-

y/2] / 12 for x = 0, 1, 2 and 0 < y < [infinity]. Find the probability that the total loss, X + Y is less than 2.
Mathematics
1 answer:
STALIN [3.7K]3 years ago
3 0

Answer:

The probability that the total loss, X + Y is less than 2 is P=0.235

Step-by-step explanation:

We know the joint density function:

f(x,y)=\frac{(x+1)e^{-y/2}}{12}

To find the probability that (X+Y)<2, we can divide this in two steps.

- When X=0, Y should be less than 2. This is P(X=0,Y<2).

- When X=1, Y should be less than 1. This is P(X=1, Y<1).

We can calculate P(X=0,Y<2) as:

P(X=0,Y

We can calculate P(X=1,Y<1) as:

P(X=1,Y

Then

P(X+Y

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Masteriza [31]

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3 years ago
In Coach Sullivan's gym class, there are 28 girls and 35 boys. Coach Sullivan plans to divide the students into teams so that ea
worty [1.4K]
This a problem of GCF ( greatest common factor)
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28 is divisible by 2, 7 and 14 →→28 = 2x2x7
35 is divisible by 5 and 7 →→→→35 = 5x7
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7 0
3 years ago
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