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13.3 THE SIGN TEST 687<br />

TABLE 13.3.1 General Appearance<br />

Scores of 10 Mentally Retarded Girls<br />

Girl Score Girl Score<br />

1 4 6 6<br />

2 5 7 10<br />

3 8 8 7<br />

4 8 9 6<br />

5 9 10 6<br />

4. Test statistic. The test statistic for the sign test is either the observed<br />

number of plus signs or the observed number of minus signs. The nature<br />

of the alternative hypothesis determines which of these test statistics is<br />

appropriate. In a given test, any one of the following alternative hypotheses<br />

is possible:<br />

H A : P1+2 7 P1-2 one-sided alternative<br />

H A : P1+2 6 P1-2 one-sided alternative<br />

H A : P1+2 Z P1-2 two-sided alternative<br />

If the alternative hypothesis is<br />

H A : P1+2 7 P1-2<br />

a sufficiently small number of minus signs causes rejection of H 0 . The<br />

test statistic is the number of minus signs. Similarly, if the alternative<br />

hypothesis is<br />

H A : P1+2 6 P1-2<br />

a sufficiently small number of plus signs causes rejection of H 0 . The test<br />

statistic is the number of plus signs. If the alternative hypothesis is<br />

H A : P1+2 Z P1-2<br />

either a sufficiently small number of plus signs or a sufficiently small<br />

number of minus signs causes rejection of the null hypothesis. We may<br />

take as the test statistic the less frequently occurring sign.<br />

5. Distribution of test statistic. As a first step in determining the nature<br />

of the test statistic, let us examine the data in Table 13.3.1 to determine<br />

which scores lie above and which ones lie below the hypothesized<br />

median of 5. If we assign a plus sign to those scores that lie above the<br />

hypothesized median and a minus to those that fall below, we have the<br />

results shown in Table 13.3.2.<br />

If the null hypothesis were true, that is, if the median were, in fact, 5,<br />

we would expect the numbers of scores falling above and below 5 to be

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