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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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7, 2, 3, 9, 4, 6, 10<br> 20. Mean = 21. Median = 22. Mode = 23. Range =<br><br> pls find out
baherus [9]

Answer:

range = maximum value - minimum value

Step-by-step explanation:

so here..the maximum value is 20 and the minimum value is 7

20-7 is 13=range

6 0
3 years ago
where can you find a website that has the lengths of major league baseball fields from plates to various fences etc... (example.
Elena-2011 [213]

Answer:

6567

Step-by-step explanation:

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8 0
3 years ago
Scientists have found that the life span of a mammal living in captivity is related to the mammals mass. The life span in years
Tatiana [17]
To know the life span of the wolf and the lion, we simply substitute their mass to the formula for L.

Mass of wolf:
L=12 m^{ \frac{1}{5} }= 12 (32)^{ \frac{1}{5} }=24

Mass of lion:
L=12 m^{ \frac{1}{5} }= 12 (243)^{ \frac{1}{5} }=36

Therefore, the wolf has a life span of 24 and the lion has a life span of 36. With this information, we can determine how much longer the life span of the lion is:
36-24=12

ANSWER: The life span of the lion is 12 longer than the life span of the wolf.
7 0
3 years ago
Solve each inequality and graph it’s solution set. -9-e&gt;3e+11
cluponka [151]
The work is down below but then the answer would be -2.25>e>-2.75
- e > 3e + 11 \\ - 3e > - 3e + 11 \\ - 4e > 11 \\ \div - 4 > \div - 4 \\ e > - 2.75


-9-e>3e \\ +e>+e \\ -9>4e \\ ÷4> \div 4 \\ -2.25>e
5 0
3 years ago
The heights (measured in inches) of men aged 20 to 29 follow approximately the normal distribution with mean 69.3 and standard d
Zolol [24]

Answer:

The middle 92% of all heights fall between 64.4 inches and 74.2 inches.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 69.3, \sigma = 2.8

Between what two values does that middle 92% of all heights fall?

The middle 92% falls from X when Z has a pvalue of 0.5 - 0.92/2 = 0.04 to X when Z has a pvalue of 0.5 + 0.92/2 = 0.96. So from the 4th percentile to the 96th percentile.

4th percentile

X when Z = -1.75

Z = \frac{X - \mu}{\sigma}

-1.75 = \frac{X - 69.3}{2.8}

X - 69.3 = -1.75*2.8

X = 64.4

96th percentile

X when Z = 1.75

Z = \frac{X - \mu}{\sigma}

1.75 = \frac{X - 69.3}{2.8}

X - 69.3 = 1.75*2.8

X = 74.2

The middle 92% of all heights fall between 64.4 inches and 74.2 inches.

6 0
3 years ago
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