Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 9 - Section 9.1 - Assess Your Understanding - Explaining the Concepts - Page 439: 49

Answer

For 95% confidence interval: $z_{0.025} = 1.96$ For 99% confidence interval: $z_{0.005} = 2.575$ $E = z.\sqrt \frac{p(1-p)}{n}$ Assuming p is the same for both, we have: $\frac{2.575}{\sqrt 400} < \frac{1.96}{\sqrt 200} $ Hence Matthew's estimate will have a smaller margin of error.

Work Step by Step

Given above.
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