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The sum of the positive ranks is w (1 2 3 4 5 6 11 13 15 16 17 18 19 20) 150, and the sum of the absolute values of the negative ranks is w (7 8 9 10 12 14) 60. Therefore, w 8. min1150, 602 60

Conclusions: Since w 60 is not less than or equal to the critical value w0.05 52, we cannot reject the null hypothesis that the mean (or median, since the population is assumed to be symmetric) shear strength is 2000 psi.

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F ( A , B , C )= (AAB ) V ( A A C )

Ties in the Wilcoxon Signed-Rank Test Because the underlying population is continuous, ties are theoretically impossible, although they will sometimes occur in practice. If several observations have the same absolute magnitude, they are assigned the average of the ranks that they would receive if they differed slightly from one another.

15-3.2

$ ( A ,B , C ) = (A A B )

1212n 24

Therefore, a test of H0:

(15-6)

Suppose that A, B and C are 32-bit words selected at random. Then what is the probability that F ( A , B ,C) = F(A, B , C)

An appropriate critical region for either the two-sided or one-sided alternative hypotheses can be chosen from a table of the standard normal distribution.

15-3.3

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denoted by V X . Given 32-bit words X and X , let U = XI A 1 X and L = 1X A X . Then it is easy to see that X @ X = U 6 L . a. Show that for U and L defined in this way,

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The Wilcoxon signed-rank test can be applied to paired data. Let (X1j, X2j), j 1, 2, . . . , n be a collection of paired observations from two continuous distributions that differ only with respect to their means. (It is not necessary that the distributions of X1 and X2 be symmetric.) This assures that the distribution of the differences Dj X1j X2j is continuous and symmetric. Thus, the null hypothesis is H0: 1 0. We initially con2, which is equivalent to H0: D sider the two-sided alternative H1: 1 (or H1: D 0). 2 To use the Wilcoxon signed-rank test, the differences are rst ranked in ascending order of their absolute values, and then the ranks are given the signs of the differences. Ties are assigned average ranks. Let W be the sum of the positive ranks and W be the absolute value of the sum of the negative ranks, and W min(W , W ). If the observed value w w*, the null hypothesis H0: 1 0) is rejected where w* is chosen from Appendix Table VIII. 2 (or H0: D For one-sided tests, if the alternative is H1: 1 0), reject H0 if w w*; 2 (or H1: D and if H1: 1 (or H1: D 0), reject H0 if w w*. Be sure to use the one-sided test 2 signi cance levels shown in Appendix Table VIII.

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EXAMPLE 15-5

We will apply the Wilcoxon signed-rank test to the fuel-metering device test data used previously in Example 15-3. The eight-step hypothesis-testing procedure can be applied as follows: 1. The parameters of interest are the mean fuel mileage performance for the two metering devices.

L (mod 232).

2. H0: 1 2 or, equivalently, H0: 3. H1: 1 2 or, equivalently, H1: 4. 0.05 5. The test statistic is w

where w and w are the sums of the positive and negative ranks of the differences in Table 15-2. 6. Since 0.05 and n 12, Appendix Table VIII gives the critical value as w* 13. 0.05 We will reject H0: D 0 if w 13. 7. Computations: Using the data in Table 15-2, we compute the following signed ranks:

(5.56)

Car 7 12 8 6 2 4 5 1 9 10 11 3 Difference 0.2 0.3 0.4 0.5 0.6 0.7 0.7 0.8 0.9 1.0 1.1 1.3 Signed Rank 1 2 3 4 5 6.5 6.5 8 9 10 11 12

22.5. Therefore, min155.5, 22.52 22.5

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