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: 21a

Answer

$P(x = 130) \approx 0.044$

Work Step by Step

i) First, we verify that we can use the normal approximation to the binomial : $np(1-p) \geq 10$ = $150(0.90)(0.10) \geq$ 10 = $13.5 \geq 10$ Yes, we can use the normal distribution to approximate the binomial. ii) Find mean and standard deviation of the data: $\mu = np = 150 \times 0.90 = 135$ $\sigma = \sqrt {np(1-p)} = \sqrt 13.5$ iii) Want to find $P(x = 130)$ Apply the continuity correction: $P(x = 130)$ = $P(129.5 \leq x \leq 130.5)$ iv) Find $P(129.5 \leq x \leq 130.5)$ Convert 129.5 and 130.5 to z-scores z = $\frac{129.5-130}{\sqrt 13.5} = -1.50$ z = $\frac{130.5-130}{\sqrt 13.5} = -1.22$ Therefore, $P(129.5 < x < 130.5)$ = $P(-1.50 < z < -1.22)$ $= P(z < -1.22) - P(z < -1.50)$ $= 0.1112 - 0.0668$ $= 0.0444$
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