Consider a list of m names, where the same name may appear more than once on the list. Let n ( i ) , i = 1 , ... , m , denote the number of times that the name in position i appears on the list, and let d denote the number of distinct names on the list. a. Express d in terms of the variables m , n ( i ) , i = 1 , ... , m . Let U be a uniform ( 0 , 1 ) random variable, and let X = [ m U ] + 1 . b. What is the probability mass function of X? c. Argue that E [ m n ( X ) ] = d .
Consider a list of m names, where the same name may appear more than once on the list. Let n ( i ) , i = 1 , ... , m , denote the number of times that the name in position i appears on the list, and let d denote the number of distinct names on the list. a. Express d in terms of the variables m , n ( i ) , i = 1 , ... , m . Let U be a uniform ( 0 , 1 ) random variable, and let X = [ m U ] + 1 . b. What is the probability mass function of X? c. Argue that E [ m n ( X ) ] = d .
Solution Summary: The author explains that d represents the number of distinct names on the list, and of these two spots, we are required to get a value of 1.
Consider a list of m names, where the same name may appear more than once on the list. Let
n
(
i
)
,
i
=
1
,
...
,
m
,
denote the number of times that the name in position i appears on the list, and let d denote the number of distinct names on the list.
a. Express d in terms of the variables
m
,
n
(
i
)
,
i
=
1
,
...
,
m
. Let U be a uniform
(
0
,
1
)
random variable, and let
X
=
[
m
U
]
+
1
.
QUESTION 18 - 1 POINT
Jessie is playing a dice game and bets $9 on her first roll. If a 10, 7, or 4 is rolled, she wins $9. This happens with a probability of . If an 8 or 2 is rolled, she loses her $9. This has a probability of J. If any other number is rolled, she does not win or lose, and the game continues. Find the expected value for Jessie on her first roll.
Round to the nearest cent if necessary. Do not round until the final calculation.
Provide your answer below:
5 of 5
(i) Let a discrete sample space be given by
Ω = {ω1, 2, 3, 4},
Total marks 12
and let a probability measure P on be given by
P(w1) 0.2, P(w2) = 0.2, P(w3) = 0.5, P(w4) = 0.1.
=
Consider the random variables X1, X2 → R defined by
X₁(w3) = 1, X₁(4) = 1,
X₁(w₁) = 1, X₁(w2) = 2,
X2(w1) = 2, X2(w2) = 2, X2(W3) = 1, X2(w4) = 2.
Find the joint distribution of X1, X2.
(ii)
[4 Marks]
Let Y, Z be random variables on a probability space (N, F, P).
Let the random vector (Y, Z) take on values in the set [0,1] × [0,2] and let the
joint distribution of Y, Z on [0,1] × [0,2] be given by
1
dPy,z(y, z)
(y²z + y²²) dy dz.
Find the distribution Py of the random variable Y.
[8 Marks]
Total marks 16
5.
Let (,,P) be a probability space and let X : → R be a random
variable whose probability density function is given by f(x) = }}|x|e¯|×| for
x Є R.
(i)
(ii)
Find the characteristic function of the random variable X.
[8 Marks]
Using the result of (i), calculate the first two moments of the
random variable X, i.e., E(X") for n = 1, 2.
(iii) What is the variance of X?
[6 Marks]
[2 Marks]
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.