Determining Sample Size The sample size needed to estimate the difference between two population proportions to within a margin of error E with a confidence level of \(1-\alpha\) can be found by using the following expression: \(\mathrm {E=z\ \alpha}\ /\text{ 2 p 1 q 1 n 1+p 2 q 2 n 2}\) Replace n 1 and n 2 by n in the formula above (assuming that both samples have the same size) and replace each of p 1 , q 1 , p 2 , and q 2 by 0.5 (because their values are not known). Solving for n results in this expression: \(\mathrm {n=z\ \alpha}\ /\text{ 2 2 2 E 2}\) Use this expression to find the size of each sample if you want to estimate the difference between the proportions of adult men and women who are college graduates. Assume that you want 90% confidence that your error is no more than 0.02. ________________ Equation Transcription: Text Transcription: 1-alpha E = z alpha / 2 p 1 q 1 n 1 + p 2 q 2 n 2 n = z alpha / 2 2 2 E 2
Read moreTable of Contents
Textbook Solutions for Elementary Statistics
Question
Problem 15BSC
Testing Claims about Proportions. In Exercises, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), conclusion about the null hypothesis, and final conclusion that addresses the original claim.
Headache Treatment In a study of treatments for very painful “cluster” headaches, 150 patients were treated with oxygen and 148 other patients were given a placebo consisting of ordinary air. Among the 150 patients in the oxygen treatment group, 116 were free from headaches 15 minutes after treatment. Among the 148 patients given the placebo, 29 were free from headaches 15 minutes after treatment (based on data from “High-Flow Oxygen for Treatment of Cluster Headache,” by Cohen, Burns, and Goadsby, Journal of the American Medical Association, Vol. 302, No. 22). We want to use a 0.01 significance level to test the claim that the oxygen treatment is effective.
a. Test the claim using a hypothesis test.
b. Test the claim by constructing an appropriate confidence interval.
c. Based on the results, is the oxygen treatment effective?
Solution
Solution 15BSC
The confidence interval limits do not contain 0, implying
full solution