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balu736 [363]
3 years ago
13

Let X be a random variable with distribution function mx(x) defined by mx (-1) = 1/5, mx (0) = 1/5, mx (1) = 2/5, mx (2) = 1/5.

(a) Let Y be the random variable defined by the equation Y = X + 3. Find the distribution function mY(y) of Y. (b) Let Z be the random variable defined by the equation Z = X^2. Find the distribution function mZ(z) of Z.
Mathematics
1 answer:
uranmaximum [27]3 years ago
7 0

Answer:

my=(1/5 , 1/5, 2/5 , 1/5) for Y=(2,3,4,5)

mz=(1/5 , 3/5, 1/5 ) for Z=(0,1,4)

Step-by-step explanation:

for Y

for X=(-1) , Y= -1+3=2 , my=mx=1/5 → my(Y=2)=1/5

for X=0 , Y= 0+3=3 , my=mx=1/5 → my(Y=3)=1/5

for X=1 , Y= 1+3=4 , my=mx=2/5 → my(Y=4)=2/5

for X=2 , Y= 2+3=5 , my=mx=1/5 → my(Y=5)=1/5

for Z

for X=(-1) ,Z= (-1)²=1 , mz [X=(-1)]=mx=1/5

for X=0 ,Z= 0²=0 , mz=mx=1/5   → mz(Z=0)=1/5

for X=1 ,Z= 1²=1 , mz [X=1]=mx=2/5   → mz(Z=1)= 1/5+ 2/5 = 3/5

for X=2 ,Z= 2²=4 , mz=mx=1/5   → mz(Z=4)=1/5

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garik1379 [7]

Answer:

Pretty sure it's B

Step-by-step explanation:

Everything else would be more like an equation. I think B is the only inequality.

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3 0
3 years ago
I have 100 items of product in stock. The probability mass function for the product's demand D is P(D=90)=P(D=100)=P(D=110)=1/3.
masya89 [10]

Answer:

The probability mass function for the items sold is

P_X(k) = \left \{ {\frac{1}{3} \, \, \, {k=90} \atop \, \frac{2}{3} \, \, \, {k=100}} \right.

The mean is 96.667

The variance is 22.222

b) The probability mass function for the unfilled demand due to lack of stock is

P_Y(k) = \left \{ {\frac{2}{3} \, \, \, {k=0} \atop \, \frac{1}{3} \, \, \, {k=10}} \right.

The mean is 3.333

The variance is 33.333

Step-by-step explanation:

If the demand is higher than 100, then you will sell 100 items only. Thus, there is a probability of 1/3+1/3 = 2/3 that you will sell 100 items, while there is a probability of 1/3 that you will sell 90.

The probability mass function for the items sold is

P_X(k) = \left \{ {\frac{1}{3} \, \, \, {k=90} \atop \, \frac{2}{3} \, \, \, {k=100}} \right.

The mean is 1/3 * 90 + 2/3 * 100 = 290/3 = 96.667

The variance is V(X) = E(X²)-E(X)² = (1/3*90² + 2/3*100²) - (290/3)² = 200/9 = 22.222

b) If order to be unfilled demand, you need to have a demand of 110, which happens with probability 1/3. In that case, the value of the variable, lets call it Y, that counts the amount of unfilled demand due to lack of stock is 110-100 = 10. In any other case, the value of Y is 0, which would happen with probability 1-1/3 = 2/3. Thus

P_Y(k) = \left \{ {\frac{2}{3} \, \, \, {k=0} \atop \, \frac{1}{3} \, \, \, {k=10}} \right.

The mean is 2/3 * 0 + 1/3 * 10 = 10/3 = 3.333

The variance is 2/3*0² + 1/3*10² = 100/3 = 33.333

4 0
3 years ago
I'd appreciate the help, its making my brain hurt plus i never was good at algebra
Andrei [34K]

Answer: I got -2

I plugged -6 in for y and then simplified. -6 x -6 = 36. 7 x -6 = -42. So 36 - 42 = -6. -6 + 4 = -2

3 0
3 years ago
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