Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 10 - Section 10.2 - Assess Your Understanding - Vocabulary and Skill Building - Page 493: 7

Answer

(a) $z_0\gt z_α$: null hypothesis is rejected. (b) $P(z\gt z_0)\ltα$: null hypothesis is rejected.

Work Step by Step

$np_0(1-p_0)=200\times0.3(1-0.3)=42\gt10$ $p̂ =\frac{x}{n}=\frac{75}{200}=0.375$ $z_0=\frac{p̂ -p_0}{\sqrt {\frac{p_0(1-p_0)}{n}}}=\frac{0.375-0.3}{\sqrt {\frac{0.3(1-0.3)}{200}}}=2.31$ (a) $z_α=z_{0.05}$ If the area of the standard normal curve to the right of $z_{0.05}$ is 0.05, then the area of the standard normal curve to the left of $z_{0.05}$ is $1−0.05=0.95$ According to Table V, there are 2 z-scores which give the closest value to 0.95: 1.64 and 1.65. So, let's find the mean of these z-scores: $\frac{1.64+1.65}{2}=1.645$ Since $z_0\gt z_α$, we reject the null hypothesis. (b) $P(z\gt z_0)=P(z\gt2.32)=1-P(z\lt2.31)=1-0.9896=0.0104$ Since $P(z\gt z_0)\ltα$, we reject the null hypothesis.
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