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The lifetime of a certain type of automobile tire (in thousands of miles) is normally distributed with a mean of 32 and a sta

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\mathbf{Solution}

\mathbf{given:}\;\mu=32,\;\sigma=4

\mathbf{formula:}\;Z=\frac{X-\mu}{\sigma}

{\color{Blue} \mathbf{a)}}\;50\;percentile\Rightarrow P(Z<?)=0.50

From Z-table, Lookup for Z-value corresponding to area 0.50 to the left of the normal curve.

\Rightarrow P(Z<\mathbf{0})=0.50

0=\frac{X-32}{4}

\therefore X=\mathbf{{\color{Red} 32}}

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{\color{Blue} \mathbf{b)}}\;70\%\;above\Rightarrow P(Z>?)=0.70

From Z-table, Lookup for Z-value corresponding to area 0.70 to the right of the normal curve.

\Rightarrow P(Z>\mathbf{-0.52})=0.70

-0.52=\frac{X-32}{4}

X=32+(-0.52*4)

X=32-2.08

X=\mathbf{{\color{Red} 29.92}}

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{\color{Blue} \mathbf{c)}}\;middle\;15\%\Rightarrow P(?<Z<?)=0.15

\mathbf{for\;two \;tail\; test}\;\frac{\alpha }{2}=\frac{1-0.15}{2}=\mathbf{0.425}

From Z-table, Lookup for Z-value corresponding to area 0.425 to the left of the normal curve.

\Rightarrow P(Z<-0.19)=0.425

From Z-table, Lookup for Z-value corresponding to area 0.425 to the right of the normal curve.

\Rightarrow P(Z>0.19)=0.425

\therefore P(\mathbf{-0.19}<Z<\mathbf{0.19})=0.15

{\color{Blue} \mathbf{Lower}}

-0.19=\frac{X-32}{4}

X=32+(-0.19*4)

X=32-0.76

X=\mathbf{{\color{Red} 31.24}}

{\color{Blue} \mathbf{Upper}}

0.19=\frac{X-32}{4}

X=32+(0.19*4)

X=32+0.76

X=\mathbf{{\color{Red} 32.76}}

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{\color{Blue} \mathbf{d)}}\;only\;1\%\Rightarrow P(Z<?)=0.01

From Z-table, Lookup for Z-value corresponding to area 0.01 to the left of the normal curve.

\Rightarrow P(Z<\mathbf{-2.33})=0.50

-2.33=\frac{X-32}{4}

X=32 +(-2.33*4)

\therefore X=\mathbf{{\color{Red} 22.68}}

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