Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 7 - Section 7.4 - Assess Your Understanding - Applying the Concepts - Page 392: 24a

Answer

$P(100)=0.0018$

Work Step by Step

$μ_X=np=300\times0.267=80.1$ $σ_X=\sqrt {np(1-p)}=\sqrt {300\times0.267(1-0.267)}=7.66$ Let's find the z-scores for 99.5 and 100.5: $z=\frac{X-μ}{σ}=\frac{99.5-80.1}{7.66}=2.53$ $z=\frac{X-μ}{σ}=\frac{100.5-80.1}{7.66}=2.66$ According to Table V, the area of the standard normal curve to the left of z-score equal to 2.53 is 0.9943. According to Table V, the area the standard normal curve to the left of z-score equal to 2.66 is 0.9961. The area of the standard normal curve between the z-scores 2.53 and 2.66 is the difference between the area of the standard normal curve to the left of z-score equal to 2.66 and the area of the standard normal curve to the left of z-score equal to 2.53: $0.9961-0.9943=0.0018$
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