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Today’s outline: pp 98111
I
Examples from HW/book
I
Continuous distributions:
I
Uniform
I
Gamma (and exponential and chi square)
I
Normal (Gaussian)
I
Beta
I
Cauchy
I
Lognormal
I
Double exponential
Today we will ﬁnish the material for the midterm :) Next class
(Thursday) we will go through examples, and next Tuesday we will
do a review and questions/answers.
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View Full Document CONTINUOUS DISTRIBUTIONS
Uniform continuous distribution
A r.v.
X
is uniform on (
a
,
b
) if
f
X
(
x
) =
I
{
a
<
x
<
b
}
1
b

a
.
What does that look like?
I
Mean
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View Full Document Uniform continuous distribution
A r.v.
X
is uniform on (
a
,
b
) if
f
X
(
x
) =
I
{
a
<
x
<
b
}
1
b

a
.
What does that look like?
I
Mean
a
+
b
2
, median
Uniform continuous distribution
A r.v.
X
is uniform on (
a
,
b
) if
f
X
(
x
) =
I
{
a
<
x
<
b
}
1
b

a
.
What does that look like?
I
Mean
a
+
b
2
, median
a
+
b
2
. No unique mode!
I
Variance
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View Full Document
A r.v.
X
is uniform on (
a
,
b
) if
f
X
(
x
) =
I
{
a
<
x
<
b
}
1
b

a
.
What does that look like?
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This note was uploaded on 01/16/2011 for the course STAT 213 taught by Professor Ioannam during the Fall '09 term at Duke.
 Fall '09
 IoannaM

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