In: Statistics and Probability
You draw the following ve numbers from a standard normal
distribution:
f= (1:7; 0:55; 0:85)
What are the equivalent draws from a normal distribution with mean
0:8 and variance
25?
b. Suppose x1 ~ N(1; 5) and x2~ N(2; 2). The covariance between x1
and x2 is 1:3.
What is the distribution of x1 + x2 and x1 - x2?
c. Suppose x1 ~N(1; 5), x2 ~N(2; 3), and x3 N(2:5; 7), with
correlations P1;2 = 0:3,
P1;3 = 0:1 and P2;3 = 0:4. What is the distribution of x1 + 2x2 -
3x3?
Solution :
(a) Suppose that the following positive numbers are drawn from a standard normal distribution :
We have to find the equivalent draws from a normal distribution with mean 0.8 and variance 25.
We know the fact that if
is a normally distributed random variable, i.e., if ,
The information that is given is ,
Thus , the equivalent draw of
from
will be ,
Thus , the equivalent draw of from
will be ,
Thus , the equivalent draw of from
will be ,
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(b) We have ,
We have to find the distribution of
and
Since
are Normally distributed random variables , we know that any linear
combination of
will also be Normally distributed. Thus ,
clearly
and
will also be Normally distributed. From the information given , we
have ,
Hence , the Expectation and Variance
of will
be ,
Thus ,
Hence , the Expectation and Variance
of
will be ,
Thus ,
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(c) We have ,
We have to find the distribution of
Since
are Normally distributed random variables , we know that any linear
combination of
will also be Normally distributed. Thus ,
clearly
will also be Normally distributed. From the information given , we
have ,
The Pairwise Correlations among the 3 Normally distributed random variables are ,
The Pairwise Covariances among the 3 Normally distributed random variable will be ,
Hence , the Expectation and Variance
of
will be ,
Thus ,