Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 12 - Review - Review Exercises - Page 615: 1

Answer

$X^2\lt X_α^2$: null hypothesis is not rejected. There is not enough evidence to conclude that the roulette wheel is out of balance.

Work Step by Step

$H_0:$ the roulette wheel is working fine. In this case: $P(black)=P(red)=\frac{18}{38}=\frac{9}{19}$ and $P(green)=\frac{2}{38}=\frac{1}{19}$ $H_1:$ the roulette wheel is out of balance. Total: the pit boss spins the wheel 500 times. Expected count of black: $500\times\frac{9}{19}=236.84$ Expected count of Red: $500\times\frac{9}{19}=236.84$ Expected count of Green: $500\times\frac{1}{19}=26.32$ $X^2=Σ\frac{(O_i-E_i)^2}{E_1}=\frac{(233-236.84)^2}{236.84}+\frac{(237-236.84)^2}{236.84}+\frac{(30-26.32)^2}{26.32}=0.58$ $k=3$. So, $d.f.=3-1=2$ $X_α^2=X_{0.05}^2=5.991$ (According to Table VII, for d.f. = 2 and area to the right of critical value = 0.05) Since $X^2\lt X_α^2$, we do not reject the null hypothesis.
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