What Are the Mean and Variance of This Random Variable?

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The discussion revolves around calculating the mean and variance of a random variable defined by a piecewise distribution function F(z). The user attempts to derive the mean using the formula E[Z] = ∑ zp(z), but encounters confusion with the notation and arithmetic. Other participants point out that the approach should involve integration rather than summation, suggesting E[Z] = ∫ zF(z)dz for the continuous parts of the distribution. They also highlight potential issues with the convergence of the integrals involved, questioning the correctness of the function's definition for z greater than 2. The conversation emphasizes the challenges of understanding the notation and methodology without a textbook reference.
Gott_ist_tot
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Homework Statement



A random variable has a distribution function F(z) given by
F(z) = 0 if z< -1
F(z) = 1/2 if -1 <= z < 2
F(z) = (1-z^{-3}) is 2 <= z

Find the associated mean and variance.

The Attempt at a Solution


I drew the distribution function. I started with the associated mean (if I can figure that out the variance should follow.) I have:

E[Z] = \sum zp(z)

p(z) = P[X = z]

Therefore,
p[X = -1] = P[X= -1] - P[X<-1]
= F(-1) - lim F(1-1/n)
= 1/2 - (1-2)
= 3/2

Sorry, if I messed up badly somewhere. The class is taught without a book and I can't seem to get anything out of my notes for this homework. Thanks.
 
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Your notation is confusing to me, but for starters 1/2 - (1-2) isn't -1/2.
 
Sorry, for the bad arithmetic. That is fixed. The problem statement is a piecewise function. As for the rest of the notation. I don't know how else to write it. My professor said this usually isn't presented in textbooks in this manner but he thinks it is a good way to do it. So the notation may be quite strange. If there is a specific part I might be able to explain what I am doing.
 
Gott_ist_tot said:

Homework Statement



A random variable has a distribution function F(z) given by
F(z) = 0 if z< -1
F(z) = 1/2 if -1 <= z < 2
F(z) = (1-z^{-3}) is 2 <= z

Find the associated mean and variance.

The Attempt at a Solution


I drew the distribution function. I started with the associated mean (if I can figure that out the variance should follow.) I have:

E[Z] = \sum zp(z)

p(z) = P[X = z]

Therefore,
p[X = -1] = P[X= -1] - P[X<-1]
= F(-1) - lim F(1-1/n)
= 1/2 - (1-2)
= 3/2

Sorry, if I messed up badly somewhere. The class is taught without a book and I can't seem to get anything out of my notes for this homework. Thanks.
What are you adding over? The way you have written F it looks like a piecwise function and you should be integrating, not adding:
E[Z]= \int_{-1}^\infty zF(z)dz= \int_{-1}^2 \frac{z}{2}dz+ \int_2^\infty (z- z^{-2}dz
Unfortunately, it looks to me like that last integral won't converge. Are you sure it wasn't F(z)= (1- z)^{-3} if z> 2?

If F is only defined for integer z (then you should have told us that),
E(Z)= \sum_{-1}^\infty nF(n)= \sum_{-1}^2 \frac{n}{2}+ \sum_2^\infty (n+ n^{-2})
Again, there is a problem with the final sum: it doesn't converge.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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