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silly_muffin

@silly_muffin

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Let Θ and X be jointly continuous nonnegative random variables. A particular value x of X is observed and it turns out that
1. 1 answer
2. asked by silly_muffin
3. 300 views
Let X and Y be independent random variables, each uniformly distributed on the interval [0,1]a) Let Z = max{X,Y}. Find the PDF
1. 1 answer
2. asked by silly_muffin
3. 177 views
For each one of the following statements, indicate whether it is true or false.(a) If X = Y (i.e., the two random variables
1. 1 answer
2. asked by silly_muffin
3. 216 views
Another question. The law of iterated expectations tells us that E[E[X/Y]] = E[X]. Suppose that we want apply this law in a
1. 3 answers
2. asked by silly_muffin
3. 137 views
The law of iterated expectations tells us that E[E[X/Y]] = E[X]. Suppose that we want apply this law in a conditional universe,
1. 3 answers
2. asked by silly_muffin
3. 218 views
Let X and Y be zero-mean independent random variables. Which one of the following statements is correct? Hint: You can take for
1. 3 answers
2. asked by silly_muffin
3. 203 views
Suppose that X, Y, and Z are independent random variables with unit variance. Furthermore, E[X] )= 0 and E[Y] = E[Z] = 2. Then,
1. 1 answer
2. asked by silly_muffin
3. 305 views
Suppose that X, Y, and Z are independent random variables with unit variance. Furthermore, E[X] )= 0 and E[Y] = E[Z]. Then,
1. 1 answer
2. asked by silly_muffin
3. 241 views
Let X be an exponential random variable and let Y = a*X + b. What are the conditions for Y to be exponential?
1. 5 answers
2. asked by silly_muffin
3. 132 views
This figure below describes the joint PDF of the random variables X and Y. These random variables take values in [0,2] and
1. 3 answers
2. asked by silly_muffin
3. 210 views
The expected value of a non-negative continuous random variable X, which is defined byE(X) = ∫ x * fx(x) dx with lower limit 0
1. 1 answer
2. asked by silly_muffin
3. 159 views
Let X be a random variable that takes values between 0 and c only, for some c >= 0, so that P(0 <= X <= c) = 1. Then, var(X) <=
1. 3 answers
2. asked by silly_muffin
3. 118 views
The random variables X and Y are distributed according to the joint PDF:It has the value of a*x^2 if 1 <= x <= 2 and 0 <= y <=
1. 5 answers
2. asked by silly_muffin
3. 141 views
The random variables X and Y are distributed according to the joint PDF:The joint PDF has the value of a*x^2 if 1 <= x <= 2 and
1. 1 answer
2. asked by silly_muffin
3. 179 views
It has the value of a*x^2 if 1 <= x <= 2 and 0 <= y <= x, and 0 otherwise. What's the marginal PDF fY(y)?
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2. asked by silly_muffin
3. 113 views
The random variables X and Y are distributed according to the joint PDF:It has the value of a*x^2 if 1 <= x <= 2 and 0 <= y <=
1. 3 answers
2. asked by silly_muffin
3. 204 views
Let Y be a normal random variables, with mean 3 and variance 16.Let V = (4-Y)/3 Find the variance of V
1. 1 answer
2. asked by silly_muffin
3. 177 views

Answers (10)

why?
Why?
Why?
Why is c) false? Can you give an example?
For the first question, if we are talking about random variables, I think a must have to be 1
Let X be a continuous random variable, uniformly distributed on some interval, and let Y = a*X + b. What are the conditions for Y to have a uniform distribution?
It has to be in terms of x
Then, var(X)
1. The result is 28/15 2. The result is 4/15*(8-y^3)
Could you repeat that calculation and see if 2^4 is 8 or 16?

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