1. Assume that X and Y are two independent discrete random
variables and that X~N(0,1) and Y~N(µ,σ2).
a. Derive E(X3) and deduce that E[((Y-µ)/σ)3]
= 0
b. Derive P(X > 1.65). With µ = 0.5 and σ2 = 4.0,
find z such that P(((Y-µ)/σ) ≤ z) = 0.95. Does z depend on µ and/or
σ? Why
Given are five observations for two variables, x and y. (Round
your answers to two decimal places.) xi 1 2 3 4 5 yi 3 8 6 11 14
(a) Use sŷ* = s 1 n + (x* − x)2 Σ(xi − x)2 to estimate the standard
deviation of ŷ* when x = 3. Incorrect: Your answer is incorrect.
(b) Use ŷ* ± tα/2sŷ* to develop a 95% confidence interval for the
expected value of y when x = 3....
Given are five observations for two variables, x and
y. (Round your answers to two decimal places.)
xi
3
12
6
20
14
yi
55
40
55
10
15
(a)
Estimate the standard deviation of
ŷ*
when
x = 10.
(b)
Develop a 95% confidence interval for the expected value of
y when
x = 10.
to
(c)
Estimate the standard deviation of an individual value of
y when
x = 10.
(d)
Develop a 95% prediction interval for y...
Given are five observations for two variables, x and
y. (Round your answers to two decimal places.)
xi
3
12
6
20
14
yi
55
40
55
10
15
(a)
Estimate the standard deviation of
ŷ*
when
x = 10.
(b)
Develop a 95% confidence interval for the expected value of
y when
x = 10.
to
(c)
Estimate the standard deviation of an individual value of
y when
x = 10.
(d)
Develop a 95% prediction interval for y...
Provide an example that if the
cov(X,Y)
= 0, the two random variables, X and Y, are not necessarily
independent.
Would you please give the example specifically and
why?
Provide an example that if the
cov(X,Y)
= 0, the two random variables, X and Y, are not necessarily
independent.
Would you please give the example specifically and
why?
Let X and Y be two independent random variables. X is a binomial
(25,0.4) and Y is a uniform (0,6). Let W=2X-Y and Z= 2X+Y.
a) Find the expected value of X, the expected value of Y, the
variance of X and the variance of Y.
b) Find the expected value of W.
c) Find the variance of W.
d) Find the covariance of Z and W.
d) Find the covariance of Z and W.
This is the probability distribution between two random
variables X and Y:
Y \ X
0
1
2
3
0.1
0.2
0.2
4
0.2
0.2
0.1
a) Are those variables independent?
b) What is the marginal probability of X?
c) Find E[XY]
Consider the following data for two variables, x and y.
x
22
24
26
30
35
40
y
11
20
33
34
39
36
(a)
Develop an estimated regression equation for the data of the form
ŷ = b0 + b1x.
(Round b0 to one decimal place and b1 to three decimal places.)ŷ =
−8.3+1.259x
(b)
Use the results from part (a) to test for a significant relationship between x and y. Use α = 0.05.
Find the...