Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Comparing Two Populations: Hypothesis Testing for Proportions, Study notes of Mathematical Statistics

An explanation of how to compare two population proportions using hypothesis testing. The classical approach and the wilson approach, and includes an example of binge drinking data. The document also outlines the assumptions required for this statistical test and the steps involved in hypothesis testing.

Typology: Study notes

Pre 2010

Uploaded on 08/08/2009

koofers-user-hc6
koofers-user-hc6 🇺🇸

5

(2)

10 documents

1 / 2

Toggle sidebar

Related documents


Partial preview of the text

Download Comparing Two Populations: Hypothesis Testing for Proportions and more Study notes Mathematical Statistics in PDF only on Docsity! Lecture 19. Comparing two proportions. Math 283, Fall 2004 Suggested problems [not to be turned in] (answers to odd-numbered problems are in the back) 8.33, 8.37, 8.41, 8.47, 8.63 (Answers might not coincide completely with yours, since the book uses Wilson approach) Goal: compare two population proportions p1 and p2 H0 : equal, i.e. p1 = p2 HA : p1 ≠ p2 (two-tailed) , or p1 > p2 (right-tailed) , or p1 < p2 (left-tailed) Classical approach Use pi = Xi/ni, i = 1,2 (Xi is number of “successes”) SE(p1 − p2) = Sqrt[p1(1−p1)/n1 + p2(1−p2)/n2] Based on normal approximation, leads to the C.I. Assumptions: all npi and n(1 – pi) are larger than 10 Example Binge drinking (Example 8.8 p. 589) ni Xi pi Men 7180 1630 Women 9916 1684 Wilson approach (used in the Book) Use 1 ~p = (X1+1)/(n1+2) etc. when ni are small (we will not use this). Note: when ni are large, both approaches give similar results. p1 − p2 ± z* SE(p1 − p2)
Docsity logo



Copyright © 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved