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 - 6-7 Normal as Approximation to Binomial - Page 307: 25

Answer

a) 6; .46 b) 101; .3936 c) Roulette game

Work Step by Step

a) He is betting 5 dollars each time, so for each win, he gets: $5\times35=175$ dollars. He bets 1000 dollars, so he needs $\frac{1000}{175}\approx 6$ wins. We find that the probability that he will make a profit is: $.5 \times \frac{\frac{1}{38}}{\frac{1}{35}}=.46$ b) To make a profit, he must win on over half of his bets, so he must win 101 hands. a. We find: $\mu=np=(200)(.492)=98.58$ $ \sigma=\sqrt{npq}=\sqrt{(200)(.492)(.507)}=7.07$ Thus, we find z: $z=\frac{100.5-98.58}{7.07}=.6064$ Thus, using the table of z-scores, we find that this corresponds to a probability of $1-.6064=.3936$ c) The roulette game has a higher chance of making a profit, so it is the better option.
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