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Solved: Suppose that Y is a binomial random variable based
Chapter 3, Problem 160E(choose chapter or problem)
Suppose that is a binomial random variable based on trials with success probability and let \(Y^{\star}=n-Y\).
a. Use the result in Exercise to show that \(E\left(Y^{\star}\right)=n q\) and \(V\left(Y^{\star}\right)=n p q\), where \(q=1-p\).
b. Use the result in Exercise to show that the moment-generating function of \(Y^{\star}\) is \(m^{\star}(t)=\left(q e^{t}+p\right)^{n}\), where \(q=1-p\).
c. Based on your answer to part (b), what is the distribution of \(Y^{\star}\)?
d. If is interpreted as the number of successes in a sample of size , what is the interpretation of \(Y^{\star}\)?
e. Based on your answer in part (d), why are the answers to parts (a), (b), and (c) "obvious"?
Equation Transcription:
Text Transcription:
Y^star=n-Y
E(Y^star)=nq
V(Y^star)=npq
q=1-p
Y^star
m^star(t)=(qe^t+p)^n
q=1-p
Y^star
Y^star
Questions & Answers
QUESTION:
Suppose that is a binomial random variable based on trials with success probability and let \(Y^{\star}=n-Y\).
a. Use the result in Exercise to show that \(E\left(Y^{\star}\right)=n q\) and \(V\left(Y^{\star}\right)=n p q\), where \(q=1-p\).
b. Use the result in Exercise to show that the moment-generating function of \(Y^{\star}\) is \(m^{\star}(t)=\left(q e^{t}+p\right)^{n}\), where \(q=1-p\).
c. Based on your answer to part (b), what is the distribution of \(Y^{\star}\)?
d. If is interpreted as the number of successes in a sample of size , what is the interpretation of \(Y^{\star}\)?
e. Based on your answer in part (d), why are the answers to parts (a), (b), and (c) "obvious"?
Equation Transcription:
Text Transcription:
Y^star=n-Y
E(Y^star)=nq
V(Y^star)=npq
q=1-p
Y^star
m^star(t)=(qe^t+p)^n
q=1-p
Y^star
Y^star
ANSWER:
Solution :
Step 1 of 5:
Let Y is a binomial random variable based on n trials with success probability p and
Our goal is:
a). We need to prove that E()= nq and V()= npq.
b). We need to show that show that .
c). We need to find based on the result in part (b), what is the distribution of ?
d). If Y is interpreted as the number of successes in a sample of size n. What is the
interpretation of ?
e). Based on your in part D. Why are the answers to parts (a), (b), (c), “obvious”?
a).
Now we have to prove that E()= nq and V()= npq.
We assume that .
Let .
Here a=-1 and b=n
For binomial distributed variable Y is
E(Y)=np and V(Y)=npq
Then E() is
E()=E()
E()= E(n-Y)
E()= n-E(Y)
We know that E(Y)=np.
E()= n-np
E()= n(1-p)
We know that q=1-p
E()= nq
Therefore E() is nq.
Now V() is
V()= (
Here .
V()= V(Y)
We know that V(Y)=pq.
V()= npq
Therefore V() is npq.