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To Decide Whether Two Different Types of Steel Have the Same

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To decide whether two different types of steel have the same true average fracture toughness values, nn specimens of each type are tested, yielding the following results:  Type  Sample Average  Sample St. Dev. 160.21.0260.01.0\begin{array} { c c c } \hline \text { Type } & \text { Sample Average } & \text { Sample St. Dev. } \\\hline 1 & 60.2 & 1.0 \\2 & 60.0 & 1.0 \\\hline\end{array} Calculate the PP -value for the appropriate two-sample zz test, assuming that the data was based on nn = 100. Then repeat the calculation for nn = 400. Is the small p-value for nn = 400 indicative of a difference that has practical significance? Would you have been satisfied with just a report of the p-value? Comment briefly.

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