Consider the sample space S = [0, 1] with a probability measure that is uniform on this space, i.e. P([a, b) = b – a, for all 0 < a < b < 1. Define the sequence {X,,n = 1, 2, · .} as follows: ... n+1 2n 1 X,(s) = otherwise Also, define the random variable X on this sample space as follows: 1 0

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.2: Arithmetic Sequences
Problem 68E
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Consider the sample space S = [0, 1] with a probability measure that is uniform on this space, i.e,
Р(а, b) — ь - а,
for all 0 < a < b < 1.
Define the sequence {Xn,n = 1, 2, · · · } as follows:
...
n+1
2n
1
X,(s) =
otherwise
Also, define the random variable X on this sample space as follows:
1
0<s<
X(s) =
otherwise
a.s.
Show that X,
→ x.
Transcribed Image Text:Consider the sample space S = [0, 1] with a probability measure that is uniform on this space, i.e, Р(а, b) — ь - а, for all 0 < a < b < 1. Define the sequence {Xn,n = 1, 2, · · · } as follows: ... n+1 2n 1 X,(s) = otherwise Also, define the random variable X on this sample space as follows: 1 0<s< X(s) = otherwise a.s. Show that X, → x.
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