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ference between two proportions. Find the sample size needed for a margin of ror of 0.2 if you do not have good guess at the values of the two proportions. The mallest sample size would be ppose new information has come in and now you can say that a good guess for p 0.65 and på is 0.35. What would be the smallest sample size in this case? (We will Il bave a margin of error of 0.2). The smallest sample size would be

ference between two proportions. Find the sample size needed for a margin of ror of 0.2 if you do not have good guess at the values of the two proportions. The mallest sample size would be ppose new information has come in and now you can say that a good guess for p 0.65 and på is 0.35. What would be the smallest sample size in this case? (We will Il bave a margin of error of 0.2). The smallest sample size would be

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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You are planning a study in which you will use a 95% confidence interval to report the difference between two proportions. Find the sample size needed for a margin of error of 0.2 if you do not have good guess at the values of the two proportions. The smallest sample size would be Suppose new information has come in and now you can say that a good guess for pi is 0.65 and p, is 0.35. What would be the smallest sample size in this case? (We will still have a margin of error of 0.2). The smallest sample size would be
Transcribed Image Text:You are planning a study in which you will use a 95% confidence interval to report the difference between two proportions. Find the sample size needed for a margin of error of 0.2 if you do not have good guess at the values of the two proportions. The smallest sample size would be Suppose new information has come in and now you can say that a good guess for pi is 0.65 and p, is 0.35. What would be the smallest sample size in this case? (We will still have a margin of error of 0.2). The smallest sample size would be
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