In constructing a 95% interval estimate for the ratio of two population variances, $$\sigma _ { 1 } ^ { 2 }$$ / $$\sigma _ { 2 } ^ { 2 }$$ , two independent samples of sizes 30 and 40 are drawn from the populations. If the sample variances are 425 and 675, then the upper confidence limit is about: $$\begin{array} { | l | l | }
\hline \text { A. } & 1.2215 . \
\hline \text { B. } & 0.3132 . \
\hline \text { C. } & 1.2656 . \
\hline \text { D. } & 0.3246 . \
\hline
\end{array}$$

Question

In constructing a 95% interval estimate for the ratio of two population variances, $$\sigma _ { 1 } ^ { 2 }$$ / $$\sigma _ { 2 } ^ { 2 }$$ , two independent samples of sizes 30 and 40 are drawn from the populations. If the sample variances are 425 and 675, then the upper confidence limit is about: $$\begin{array} { | l | l | } 
\hline \text { A. } & 1.2215 . \
\hline \text { B. } & 0.3132 . \
\hline \text { C. } & 1.2656 . \
\hline \text { D. } & 0.3246 . \
\hline
\end{array}$$

Quizplus · Accepted Answer

The Answer of In constructing a 95% interval estimate for the ratio of two population variances, $$\sigma _ { 1 } ^ { 2 }$$ / $$\sigma _ { 2 } ^ { 2 }$$ , two independent samples of sizes 30 and 40 are drawn from the populations. If the sample variances are 425 and 675, then the upper confidence limit is about: $$\begin{array} { | l | l | } 
\hline \text { A. } & 1.2215 . \
\hline \text { B. } & 0.3132 . \
\hline \text { C. } & 1.2656 . \
\hline \text { D. } & 0.3246 . \
\hline
\end{array}$$

In Constructing a 95% Interval Estimate for the Ratio of Two