As in Sections 2 and 5, let us assume that a paired experiment yields the n pairs of observations (X_{1},Y_{1}), . . . , (X_{n},Y_{n}), where X_{i} and Y_{i}, i = 1, . . . , n, are members of the same pair (X_{i}, Y_{i}), with X_{i} drawn from population 1 and Y_{i} drawn from population 2. For the ith pair (X_{i},Y_{i}), let D_{i} = X_{i} − Y_{i}, i = 1,. . ., n, where D_{i} is the ith observation on the random variable D. It is assumed that the population probability distributions are continuous, with the measurements taken on an interval or ratio scale since both the signs of the D_{i}'s as well as their ranks will be utilized. Moreover, the D_{i}'s are taken to be independent random variables that follow a distribution that is symmetrical about a common median.

A comparison of the members of each pair (X_{i},Y_{i}) will render a “+” sign, a “−” sign, or a zero value. In this regard, when the value of an element from population 1 exceeds the value of its paired element from population 2, we will assign a “+” sign to the pair (X_{i},Y_{i}) and D_{i} > 0. If the value of an element from population 1 falls short of the value of its paired counterpart from population 2, then the pair is assigned a “−” sign and D_{i} < 0. Ties obviously occur if D_{i} = 0, in which case the pair (X_{i},Y_{i}) producing the tie is eliminated from the sample.

The Wilcoxon signed rank test involving matched pairs is constructed so as to test the null hypothesis H_{0}: the population ...

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