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A portion of lecture notes from a mathematical statistics course for food and resource economics. It covers the univariate normal distribution, including its definition, properties, and relationship to the binomial distribution. The document also includes examples and integrals to help understand the concepts.
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2
2
exp , 0
2 2
x f x x
2
2
2
2
2 2
exp 2 2
x E X x dx
1. Using the change in variables technique, we create a new random variable z
such that
x z x z
dx dz
Substituting into the original integral yields:
2
2 2
2
exp 2 2
exp 2 2
exp
2 2
E X z z dz
z z dz
z dz
Taking the integral of the first term first, we have:
2 2 2
2
exp exp
2 2 2
exp 0 2
z z dz C z z dz
C z
Professor Charles B. Moss Fall 2007
2. The value of the second integral becomes by polar integration (see Lecture V
notes). The variance of the normal is similarly defined except that the initial
integral now becomes:
2 2
2
(^2 )
2 2 2
exp 2 2
exp 2 2
exp 2 2
x V X x dx
z z dz
z z dz
3. This formulation is then completed using integration by parts:
2
2
2 2 2
exp 2
1 exp 2
exp exp exp 2 2 2
u z dv z z
du v z
z z z dz z z z dz
The first term of the integration by parts is clearly zero while the second is
defined by polar integral. Thus,
0 exp
2 2
2
2 2
1. This theorem can be demonstrated using Theorem 3.6.1 (the theorem on changes
in variables):
1 1 d g y f y dy
In this case
1
1 1
y x x y
d y
dy
Professor Charles B. Moss Fall 2007
2. 2. Going to 100 draws yields:
0 5 10 15 20 25
Binomial Normal