Dr. Hackney STA Solutions pg 167

Dr. Hackney STA Solutions pg 167 - 10-10 Solutions Manual...

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
10-10 Solutions Manual for Statistical Inference c. Under H 0 , ˆ p 1 - ˆ p 2 r ± 1 n 1 + 1 n 2 ² p (1 - p ) n(0 , 1) and both ˆ p 1 and ˆ p 2 are consistent, so ˆ p 1 (1 - ˆ p 1 ) p (1 - p ) and ˆ p 2 (1 - ˆ p 2 ) p (1 - p ) in probability. Therefore, by Slutsky’s Theorem, ˆ p 1 - ˆ p 2 q ˆ p 1 (1 - ˆ p 1 ) n 1 + ˆ p 2 (1 - ˆ p 2 ) n 2 n(0 , 1) , and ( T ** ) 2 χ 2 1 . It is easy to see that T ** 6 = T in general. d. The estimator (1 /n 1 + 1 /n 2 p (1 - ˆ p ) is the MLE of Var(ˆ p 1 - ˆ p 2 ) under H 0 , while the estimator ˆ p 1 (1 - ˆ p 1 ) /n 1 + ˆ p 2 (1 - ˆ p 2 ) /n 1 is the MLE of Var(ˆ p 1 - ˆ p 2 ) under H 1 . One might argue that in hypothesis testing, the first one should be used, since under H 0 , it provides a better estimator of variance. If interest is in finding the confidence interval, however, we are making inference under both H 0 and H 1 , and the second one is preferred. e. We have ˆ
Background image of page 1
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 02/03/2012 for the course STA 1014 taught by Professor Dr.hackney during the Spring '12 term at UNF.

Ask a homework question - tutors are online