Question

In: Statistics and Probability

If Y1 and Y2 are two independent random variables, each follows the same distribution N(μ,σ), what is the expected value,

 

If Y1 and Y2 are two independent random variables, each follows the same distribution N(μ,σ), what is the expected value,

variance and standard deviation of

a)Y1 + Y2?

b)Y1 - Y2?

c)the average,(Y1+Y2)/2 ?

Solutions

Expert Solution

Y1 and Y2 are two independent random variables, each follows the same distribution N(μ,σ),

This means

The expected value of is

The Variance of is

The expected value of is

The Variance of is

a)Y1 + Y2?

the expected value is

The variance is

The standard deviation is

ans:

  • The expected value of is
  • The variance of is
  • The standard deviation of is

b)

the expected value is

The variance is

The standard deviation is

ans:

  • The expected value is 0
  • The variance is
  • The standard deviation is

c) the average,(Y1+Y2)/2 ?

the expected value is

The variance is

The standard deviation is

ans:

  • The expected value is
  • The variance is
  • The standard deviation is

Related Solutions

Suppose that Y1 and Y2 are random variables with joint pdf given by f(y1,y2) = ky1y2...
Suppose that Y1 and Y2 are random variables with joint pdf given by f(y1,y2) = ky1y2 ; 0 < y1 <y2 <1, where k is a constant equal to 8. a) Find the conditional expected value and variance of Y1 given Y2=y2. b) Are Y1 and Y2 independent? Justify your answer. c) Find the covariance and correlation between Y1 and Y2. d) Find the expected value and variance of Y1+Y2.
Suppose Y1,Y2, .. ,Y8 are independent and identically distributed as Poisson random variables with mean lambda....
Suppose Y1,Y2, .. ,Y8 are independent and identically distributed as Poisson random variables with mean lambda. a) Derive the most powerful test for testing Ho: lambda = 2, Ha: lambda = 3. Carefully show all work involved in the derivation. i) Give the form of the test. (In other words, for what general values of Y1,Y2, .. ,Y8 will Ho be rejected?) ii) Describe the rejection region as carefully as possible if alpha <= .05 (and is as close as...
Let Y1, Y2, Y3, and Y4be independent, identically distributed random variables from a population with a...
Let Y1, Y2, Y3, and Y4be independent, identically distributed random variables from a population with a mean μ and a variance σ2.  Consider a different estimator of μ: W =  Y1+  Y2+ Y3+ Y4. Let Y1, Y2, Y3, and Y4be independent, identically distributed random variables from a population with a mean μ and a variance σ2.  Consider a different estimator of μ: W = 1/8 Y1+ 1/3 Y2+ 1/6 Y3+ 3/8 Y4. This is an example of a weighted average of the Yi. Show...
Let Y1, ... , Yn be a random sample that follows normal distribution N(μ,2σ^2) i)get the...
Let Y1, ... , Yn be a random sample that follows normal distribution N(μ,2σ^2) i)get the mle for σ^2 ii)prove using i) that it is an efficient estimator
Find the expected value, μ, and standard deviation, σ, for a binomial random variable with each...
Find the expected value, μ, and standard deviation, σ, for a binomial random variable with each of the following values of n and p. (Round all answers for σ to four decimal places.) (a) n = 40, p = 1/2. μ = σ = (b) n = 100, p = 1/4. μ = σ = (c) n = 2500, p = 1/5. μ = σ = (d) n = 1, p = 0.1. μ = σ = (e) n =...
Let Y1, Y2, . . . , Y20 be a random sample of size n =...
Let Y1, Y2, . . . , Y20 be a random sample of size n = 20 from a normal distribution with unknown mean µ and known variance σ 2 = 5. We want to test H0; µ = 7 vs. Ha : µ > 7. (a) Find the uniformly most powerful test with significance level 0.05. (b) For the test in (a), find the power at each of the following alternative values of µ: µa = 7.5, 8.0, 8.5,...
Let Y1, Y2, . . ., Yn be a random sample from a uniform distribution on...
Let Y1, Y2, . . ., Yn be a random sample from a uniform distribution on the interval (θ - 2, θ). a) Show that Ȳ is a biased estimator of θ. Calculate the bias. b) Calculate MSE( Ȳ). c) Find an unbiased estimator of θ. d) What is the mean square error of your unbiased estimator? e) Is your unbiased estimator a consistent estimator of θ?
Let X1,X2,X3 be i.i.d. N(0,1) random variables. Suppose Y1 = X1 + X2 + X3, Y2...
Let X1,X2,X3 be i.i.d. N(0,1) random variables. Suppose Y1 = X1 + X2 + X3, Y2 = X1 −X2, Y3 =X1 −X3. Find the joint pdf of Y = (Y1,Y2,Y3)′ using : Multivariate normal distribution properties.
Suppose that X1, X2, , Xm and Y1, Y2, , Yn are independent random samples, with...
Suppose that X1, X2, , Xm and Y1, Y2, , Yn are independent random samples, with the variables Xi normally distributed with mean μ1 and variance σ12 and the variables Yi normally distributed with mean μ2 and variance σ22. The difference between the sample means, X − Y, is then a linear combination of m + n normally distributed random variables and, by this theorem, is itself normally distributed. (a) Find E(X − Y). (b) Find V(X − Y). (c)...
Let X and Y be two independent and identically distributed random variables with expected value 1...
Let X and Y be two independent and identically distributed random variables with expected value 1 and variance 2.56. (i) Find a non-trivial upper bound for P(|X + Y − 2| ≥ 1). 5 MARKS (ii) Now suppose that X and Y are independent and identically distributed N(1, 2.56) random variables. What is P(|X + Y − 2| ≥ 1) exactly? Briefly, state your reasoning. 2 MARKS (iii) Why is the upper bound you obtained in Part (i) so different...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT