Essentials of Statistics (5th Edition)

Published by Pearson
ISBN 10: 0-32192-459-2
ISBN 13: 978-0-32192-459-9

Chapter 6 - Normal Probability Distributions - 6-5 The Central Limit Theorem - Page 289: 18

Answer

a) $P_1=50.472$ $P_{99}=104.528$ b) .999 c) Part a

Work Step by Step

a) Using the table of positive z-values, we see that the 99th percentile corresponds to a value of z of $\pm 2.33$. Thus, we find: $P_1=77.5+(11.6)(-2.33)=50.472$ $P_{99}=77.5+(11.6)(2.33)=104.528$ b) We find the two z-scores: $z=\frac{70-77.5}{11.6/\sqrt{25}}=-3.23$ $z=\frac{85-77.5}{11.6/\sqrt{25}}=3.23$ Thus, we find: $p=.9994-.0004=.999$ c) The results from part a) should be used, for this is just a cutoff for further testing. Thus, the parameters from part b) are far too rare.
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