Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 9 - Section 9.4 - Assess Your Understanding - Applying the Concepts - Page 463: 16

Answer

Confidence interval: $0.852\lt x ̅\lt0.893$ We are 95% confident that the mean weight of a plain M&M candy is between 0.852 and 0.893 grams.

Work Step by Step

The population from which the data was extracted is normally distributed. Also, there are no outliers. The mean: $x ̅=\frac{0.87+0.84+0.88+0.84+0.82+0.91+0.90+0.94+0.86+0.88+0.86+0.87}{12}=0.8725$ The standard deviation: $s=\sqrt {\frac{(0.87-0.8725)^2+(0.84-0.8725)^2+(0.88-0.8725)^2+(0.84-0.8725)^2+(0.82-0.8725)^2+(0.91-0.8725)^2+(0.90-0.8725)^2+(0.94-0.8725)^2+(0.86-0.8725)^2+(0.88-0.8725)^2+(0.86-0.8725)^2+(0.87-0.8725)^2}{12-1}}=0.033$ $n=12$, so: $d.f.=n-1=11$ $level~of~confidence=(1-α).100$% $95$% $=(1-α).100$% $0.95=1-α$ $α=0.05$ $t_{\frac{α}{2}}=t_{0.025}=2.201$ (According to Table VI, for d.f. = 11 and area in right tail = 0.025) $Lower~bound=x ̅-t_{\frac{α}{2}}.\frac{s}{\sqrt n}=0.8725-2.201\times\frac{0.033}{\sqrt {12}}=0.852$ $Upper~bound=x ̅+t_{\frac{α}{2}}.\frac{s}{\sqrt n}=0.8725+2.201\times\frac{0.033}{\sqrt {12}}=0.893$
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