Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 8 - Review - Test - Page 422: 4b

Answer

$P(shut~down)=P(x ̅\lt1.98$ or $x ̅\gt2.02)=0.0074$

Work Step by Step

$μ_{x ̅}=2.0$ $σ_{x ̅}=0.00745$ Let's find the z-scores for 1.98 and 2.02: $z=\frac{X-μ_{x ̅}}{σ_{x ̅}}=\frac{1.98-2.0}{0.00745}=-2.68$ $z=\frac{X-μ_{x ̅}}{σ_{x ̅}}=\frac{2.02-2.0}{0.00745}=2.68$ According to Table V, the area of the standard normal curve to the left of z-score equal to -2.68 is 0.0037. According to Table V, the area of the standard normal curve to the left of z-score equal to 2.68 is 0.9963. The area of the standard normal curve between the z-scores -2.68 and 2.68 is the difference between the area of the standard normal curve to the left of z-score equal to 2.68 and the area of the standard normal curve to the left of z-score equal to -2.68: $P(1.98\leq x ̅\leq2.02)=0.9963-0.0037=0.9926$ The event "$x ̅\lt1.98$ or $x ̅\gt2.02$" is the complement of the event "$1.98\leq x ̅\leq2.02$". Using the Complement Rule (see page 275): $P(x ̅\lt1.98$ or $x ̅\gt2.02)=1-P(1.98\leq x ̅\leq2.02)=1-0.9926=0.0074$
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