Here is another way to obtain a set of recursive equations for determining P n , the probability that there is a string of k consecutive heads in a sequence of n flips of a fair coin that comes up heads with probability p: a. Argue that for k < n there will be a string of k consecutive heads if either 1, there is a string of k consecutive heads within the first n − 1 flips, or 2. there is no string of k consecutive heads within the first n − k − 1 flips, flip n − k is a tail, and flips n − k + 1 ,….,n are all heads. b. Using the preceding, relate P n to P n − 1 . Starting with P k = p k the recursion can be used to obtain P k + 1 , then P k + 2 , and so on, up to P n .
Here is another way to obtain a set of recursive equations for determining P n , the probability that there is a string of k consecutive heads in a sequence of n flips of a fair coin that comes up heads with probability p: a. Argue that for k < n there will be a string of k consecutive heads if either 1, there is a string of k consecutive heads within the first n − 1 flips, or 2. there is no string of k consecutive heads within the first n − k − 1 flips, flip n − k is a tail, and flips n − k + 1 ,….,n are all heads. b. Using the preceding, relate P n to P n − 1 . Starting with P k = p k the recursion can be used to obtain P k + 1 , then P k + 2 , and so on, up to P n .
Solution Summary: The author explains the recursive equations for determining Pn, the probability that there are k consecutive heads in a sequence of n flips.
Here is another way to obtain a set of recursive equations for determining
P
n
, the probability that there is a string of k consecutive heads in a sequence of n flips of a fair coin that comes up heads with probability p:
a. Argue that for
k
<
n
there will be a string of k consecutive heads if either 1, there is a string of k consecutive heads within the first
n
−
1
flips, or
2. there is no string of k consecutive heads within the first
n
−
k
−
1
flips, flip
n
−
k
is a tail, and flips
n
−
k
+
1
,….,n are all heads.
b. Using the preceding, relate
P
n
to
P
n
−
1
. Starting with
P
k
=
p
k
the recursion can be used to obtain
P
k
+
1
, then
P
k
+
2
, and so on, up to
P
n
.
Can you please explain how to find the bounds of the integrals for X and Y and also explain how to find the inequalites that satisfy X and Y. I've looked at the solutions but its not clear to me on how the inequalities and bounds of the integral were obtained. If possible could you explain how to find the bounds of the integrals by sketching a graph with the region of integration. Thanks
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]
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