**Exercises** **7.2-1.** The length of life of brand \(X\) light bulbs is assumed to be \(N(\mu_X, 784)\). The length of life of brand \(Y\) light bulbs is assumed to be \(N(\mu_Y, 627)\) and independent of \(X\). If a random sample of \(n_X = 56\) brand \(X\) light bulbs yielded a mean of \(\bar{x} = 937.4\) hours and a random sample of size \(n_Y = 57\) brand \(Y\) light bulbs yielded a mean of \(\bar{y} = 988.9\) hours, find a 90% confidence interval for \(\mu_X - \mu_Y\). **7.2-2.** Let \(X_1, X_2, \ldots, X_5\) be a random sample of SAT mathematics scores, assumed to be \(N(\mu_X, \sigma^2)\), and let \(Y_1, Y_2, \ldots, Y_8\) be an independent random sample of SAT verbal scores, assumed to be \(N(\mu_Y, \sigma^2)\). If the following data are observed, find a 90% confidence interval for \(\mu_X - \mu_Y\): \[ \begin{align*} x_1 &= 644, & y_1 &= 623 \\ x_2 &= 493, & y_2 &= 472 \\ x_3 &= 532, & y_3 &= 492 \\ x_4 &= 462, & y_4 &= 661 \\ x_5 &= 565, & y_5 &= 540 \\ & & y_6 &= 502 \\ & & y_7 &= 549 \\ & & y_8 &= 518 \\ \end{align*} \]

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7.2-2

**Exercises**

**7.2-1.** The length of life of brand \(X\) light bulbs is assumed to be \(N(\mu_X, 784)\). The length of life of brand \(Y\) light bulbs is assumed to be \(N(\mu_Y, 627)\) and independent of \(X\). If a random sample of \(n_X = 56\) brand \(X\) light bulbs yielded a mean of \(\bar{x} = 937.4\) hours and a random sample of size \(n_Y = 57\) brand \(Y\) light bulbs yielded a mean of \(\bar{y} = 988.9\) hours, find a 90% confidence interval for \(\mu_X - \mu_Y\).

**7.2-2.** Let \(X_1, X_2, \ldots, X_5\) be a random sample of SAT mathematics scores, assumed to be \(N(\mu_X, \sigma^2)\), and let \(Y_1, Y_2, \ldots, Y_8\) be an independent random sample of SAT verbal scores, assumed to be \(N(\mu_Y, \sigma^2)\). If the following data are observed, find a 90% confidence interval for \(\mu_X - \mu_Y\):

\[
\begin{align*}
x_1 &= 644, & y_1 &= 623 \\
x_2 &= 493, & y_2 &= 472 \\
x_3 &= 532, & y_3 &= 492 \\
x_4 &= 462, & y_4 &= 661 \\
x_5 &= 565, & y_5 &= 540 \\
    &      & y_6 &= 502 \\
    &      & y_7 &= 549 \\
    &      & y_8 &= 518 \\
\end{align*}
\]
Transcribed Image Text:**Exercises** **7.2-1.** The length of life of brand \(X\) light bulbs is assumed to be \(N(\mu_X, 784)\). The length of life of brand \(Y\) light bulbs is assumed to be \(N(\mu_Y, 627)\) and independent of \(X\). If a random sample of \(n_X = 56\) brand \(X\) light bulbs yielded a mean of \(\bar{x} = 937.4\) hours and a random sample of size \(n_Y = 57\) brand \(Y\) light bulbs yielded a mean of \(\bar{y} = 988.9\) hours, find a 90% confidence interval for \(\mu_X - \mu_Y\). **7.2-2.** Let \(X_1, X_2, \ldots, X_5\) be a random sample of SAT mathematics scores, assumed to be \(N(\mu_X, \sigma^2)\), and let \(Y_1, Y_2, \ldots, Y_8\) be an independent random sample of SAT verbal scores, assumed to be \(N(\mu_Y, \sigma^2)\). If the following data are observed, find a 90% confidence interval for \(\mu_X - \mu_Y\): \[ \begin{align*} x_1 &= 644, & y_1 &= 623 \\ x_2 &= 493, & y_2 &= 472 \\ x_3 &= 532, & y_3 &= 492 \\ x_4 &= 462, & y_4 &= 661 \\ x_5 &= 565, & y_5 &= 540 \\ & & y_6 &= 502 \\ & & y_7 &= 549 \\ & & y_8 &= 518 \\ \end{align*} \]
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