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 - Vocabulary and Skill Building - Page 392: 15

Answer

$P(X = 20) = 0.0616$ $P(z < -0.92) - P(z < -1.19) = 0.0618$

Work Step by Step

Here we have: n = 60, p = 0.4, x = 20 Using the binomial probability formula: $P(X = 20) = \frac{60!}{20!(60-20)!} \times 0.4^{20} \times (1 - 0.4)^{(60-20)}$ = 0.0616 Check whether the normal distribution can be used as an approximation for the binomial distribution: $np(1-p) = 60 x 0.4 (1 - 0.4) = 14.4 \ge 10$ Hence, the normal distribution can be used. $μ_{x} = np = 60 \times 0.4 = 24$ $σ_{x} = \sqrt {np(1-p)} = \sqrt {24 (0.6)} = 3.79$ $z = \frac{x - μ_{x}}{σ_{x}} = \frac{19.5 - 24}{3.79} = -1.19$ $z = \frac{x - μ_{x}}{σ_{x}} = \frac{20.5 - 24}{3.79} = -0.92$ $P(X = 20) = P(19.5 < X < 21.5) = P(-1.19 < z < -0.92)$ $P(z < -0.92) - P(z < -1.19) = 0.1788 - 0.1170 = 0.0618$
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