Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 8 - Section 8.2 - Assess Your Understanding - Applying the Concepts - Page 419: 20

Answer

Since $P(ρ ̂\geq0.208)\lt0.05$, it is not unusual.

Work Step by Step

18% = 0.18 $μ_{ρ ̂}=0.18$ $σ_{ρ ̂}=\sqrt {\frac{p(1-p)}{n}}=\sqrt {\frac{0.18(1-0.18)}{250}}=0.0243$ The proportion in the sample: $ρ ̂=\frac{52}{250}=0.208$ Let's find the z-score for 0.208: $z=\frac{ρ ̂-μ_{ρ ̂}}{σ_{ρ ̂}}=\frac{0.208-0.18}{0.0243}=1.15$ According to Table V, the area of the standard normal curve to the left of z-score equal to 1.15 is 0.8749. But, we want the area of the standard normal curve to the right of z-score equal to 1.15: $P(ρ ̂\geq0.208)=1-0.8749=0.1251$
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