{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

HW 5 Solutions

# HW 5 Solutions - HW 5 Solutions 4.146 We require P(|Y |...

This preview shows pages 1–2. Sign up to view the full content.

HW 5 Solutions 4.146 We require P (| Y – μ| ≤ k σ) ≥ .90 = 1 – 1/ k 2 . Solving for k , we see that k = 3.1622. Thus, the necessary interval is | Y – 25,000| ≤ (3.1622)(4000) or 12,351 ≤ 37,649. 4.154 a. μ = 7, σ 2 = 2(7) = 14. b. Note that σ = 14 = 3.742. The value 23 is (23 – 7)/3.742 = 4.276 standard deviations above the mean, which is unlikely. 9.17 . Thus, by Theorem 9.2, X Y is a consistent estimator of μ 1 – μ 2 . 9.20 Since E ( Y ) = np and V ( Y ) = npq , we have that E ( Y / n ) = p and V ( Y / n ) = pq / n . Thus, Y / n is consistent since it is unbiased and its variance goes to 0 with n . 9.26 a. We have that ) ( ) ( ) ( ) ( ) ( ) ( ε - θ - ε + θ = ε + θ ε - θ n n n F F Y P . If ε > θ, 1 ) ( ) ( = ε + θ n F and 0 ) ( ) ( = ε - θ n F . Thus, ) ( ) ( ε + θ ε - θ n Y P = 1. If ε < θ, 1 ) ( ) ( = ε + θ n F , ( 29 n n F θ ε - θ = ε - θ ) ( ) ( . So, ( 29 n n Y P θ ε - θ - = ε + θ ε - θ 1 ) ( ) ( . b. The result follows from ( 29 [ ] 1 1 lim ) ( lim ) ( = - = ε + θ ε - θ θ ε - θ n n n n Y P . 9.39 Thus is sufficient by Factorization Theorem. 9.44 With β known, the likelihood is ( 29 ) 1 ( 1 ) ( + α - = α β α = α n i i n n y L . By Theorem 9.4, U = = n i i Y 1 is sufficient for α with ( 29 ) 1 ( ) , ( + α - α β α = α u u g n n and h ( y ) = 1. 9.51 Again, using the indicator notation, the density is

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern