A deck of n cards numbered 1 through n is thoroughly shuffled so that all possible n! orderings can be assumed to be equally likely. Suppose you are to make n guesses sequentially, where the i th one is a guess of the card in position i. Let n denote the number of correct guesses. a. If you are not given any information about your earlier guesses, show that for any strategy, E [ N ] = 1 . b. Suppose that after each guess you are shown the card that was in the position in question. What do you think is the best strategy? Show that under this strategy, E [ N ] = 1 n + 1 n − 1 + ... + 1 ≈ ∫ 1 n 1 x d x = log n c. Suppose that you are told after each guess whether you are right or wrong. In this case, it can be shown that the strategy that maximizes E[N] is one that keeps on guessing the same card until you are told you are correct and then changes to a new card. For this strategy, show that E [ N ] = 1 + 1 2 ! + 1 3 ! + ... + 1 n ! ≈ e − 1 Hint: For all parts, express N as the sum of indicator (that is, Bernoulli) random variables.
A deck of n cards numbered 1 through n is thoroughly shuffled so that all possible n! orderings can be assumed to be equally likely. Suppose you are to make n guesses sequentially, where the i th one is a guess of the card in position i. Let n denote the number of correct guesses. a. If you are not given any information about your earlier guesses, show that for any strategy, E [ N ] = 1 . b. Suppose that after each guess you are shown the card that was in the position in question. What do you think is the best strategy? Show that under this strategy, E [ N ] = 1 n + 1 n − 1 + ... + 1 ≈ ∫ 1 n 1 x d x = log n c. Suppose that you are told after each guess whether you are right or wrong. In this case, it can be shown that the strategy that maximizes E[N] is one that keeps on guessing the same card until you are told you are correct and then changes to a new card. For this strategy, show that E [ N ] = 1 + 1 2 ! + 1 3 ! + ... + 1 n ! ≈ e − 1 Hint: For all parts, express N as the sum of indicator (that is, Bernoulli) random variables.
Solution Summary: The author shows the expected value of N for any strategy.
A deck of n cards numbered 1 through n is thoroughly shuffled so that all possible n! orderings can be assumed to be equally likely. Suppose you are to make n guesses sequentially, where the ith one is a guess of the card in position i. Let n denote the number of correct guesses.
a. If you are not given any information about your earlier guesses, show that for any strategy,
E
[
N
]
=
1
.
b. Suppose that after each guess you are shown the card that was in the position in question. What do you think is the best strategy? Show that under this strategy,
E
[
N
]
=
1
n
+
1
n
−
1
+
...
+
1
≈
∫
1
n
1
x
d
x
=
log
n
c. Suppose that you are told after each guess whether you are right or wrong. In this case, it can be shown that the strategy that maximizes E[N] is one that keeps on guessing the same card until you are told you are correct and then changes to a new card. For this strategy, show that
E
[
N
]
=
1
+
1
2
!
+
1
3
!
+
...
+
1
n
!
≈
e
−
1
Hint: For all parts, express
N as the sum of indicator (that is, Bernoulli) random variables.
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.
Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License