Stats Solutions

(Steps Shown) Refer to Premium distribution Problem 16.12. Suppose primary interest is in estimating the following comparisons: L_1=μ _1-μ _2quad

Question: Refer to Premium distribution Problem 16.12. Suppose primary interest is in estimating the following comparisons:

\[\begin{aligned} & {{L}_{1}}={{\mu }_{1}}-{{\mu }_{2}}\quad {{L}_{k}}=\frac{{{\mu }_{1}}+{{\mu }_{2}}}{2}-\frac{{{\mu }_{2}}+{{\mu }_{1}}}{2} \\ & {{L}_{2}}={{\mu }_{3}}-{{\mu }_{4}}\quad {{L}_{1}}=\frac{{{\mu }_{1}}+{{\mu }_{1}}+{{m}_{3}}+{{\mu }_{4}}}{4}-\frac{{{\mu }_{3}}+{{\mu }_{n}}}{2} \\ \end{aligned}\]

What would be the required sample sizes if the precision of each of the estimated comparisons is not to exceed \(\pm 1.0\) day, using the most efficient multiple comparison procedure with a 90 percent family confidence coefficient?

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