Consider an infinite sequence of independent (possibly unfair) coin flips where the probability of each being heads is pe[0,1]. We define the family of random variables X to be the number of heads after k flips. i) Using the fact that X, is binomially distributed with X, ~ B(n, p), calculate P(X5 = 2). ii) Let k>0 be even, and p =5. Calculate P(X >5). Hint: you might want to also consider P(X <5). We now define the random variable Y as the length of the run of either all heads or all tails at the start of an infinite series of coin flips. For example Y = 4 if the sequence of coin flips start with HHHHT... or TTTTH.... iii) Give an expression of P(Y = k) in terms of p and k. iv) Using your answer to the previous question, show that 1- 2p + 2p² p(1 - p) E(Y) = You will probably want to use the fact that: 1 ia'-1 (a – 1)2 i=1
Consider an infinite sequence of independent (possibly unfair) coin flips where the probability of each being heads is pe[0,1]. We define the family of random variables X to be the number of heads after k flips. i) Using the fact that X, is binomially distributed with X, ~ B(n, p), calculate P(X5 = 2). ii) Let k>0 be even, and p =5. Calculate P(X >5). Hint: you might want to also consider P(X <5). We now define the random variable Y as the length of the run of either all heads or all tails at the start of an infinite series of coin flips. For example Y = 4 if the sequence of coin flips start with HHHHT... or TTTTH.... iii) Give an expression of P(Y = k) in terms of p and k. iv) Using your answer to the previous question, show that 1- 2p + 2p² p(1 - p) E(Y) = You will probably want to use the fact that: 1 ia'-1 (a – 1)2 i=1
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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![Consider an infinite sequence of independent (possibly unfair) coin flips where the
probability of each being heads is pe [0,1]. We define the family of random variables
X to be the number of heads after k flips.
i) Using the fact that X, is binomially distributed with X„ ~ B(n,p), calculate
P(X5 = 2).
ii) Let k> 0 be even, and p = 5. Calculate P(X > 5). Hint: you might want to also
consider P(Xr <5).
We now define the random variable Y as the length of the run of either all heads or all
tails at the start of an infinite series of coin flips. For example Y = 4 if the sequence of
coin flips start with HHHHT... or TTTTH....
iii) Give an expression of P(Y = k) in terms of p and k.
iv) Using your answer to the previous question, show that
1– 2p + 2p²
p(1 -р)
E(Y) =
%3D
You will probably want to use the fact that:
1
ia
(а
– 1)2
i=1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6ab89ad2-328d-4004-b31e-cca641a10119%2Fd736bfa4-bc72-4117-9455-6e76aa527d87%2Fz8dd3hi_processed.png&w=3840&q=75)
Transcribed Image Text:Consider an infinite sequence of independent (possibly unfair) coin flips where the
probability of each being heads is pe [0,1]. We define the family of random variables
X to be the number of heads after k flips.
i) Using the fact that X, is binomially distributed with X„ ~ B(n,p), calculate
P(X5 = 2).
ii) Let k> 0 be even, and p = 5. Calculate P(X > 5). Hint: you might want to also
consider P(Xr <5).
We now define the random variable Y as the length of the run of either all heads or all
tails at the start of an infinite series of coin flips. For example Y = 4 if the sequence of
coin flips start with HHHHT... or TTTTH....
iii) Give an expression of P(Y = k) in terms of p and k.
iv) Using your answer to the previous question, show that
1– 2p + 2p²
p(1 -р)
E(Y) =
%3D
You will probably want to use the fact that:
1
ia
(а
– 1)2
i=1
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