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Now r 14 and r 6; therefore, r min (14, 6) 6 From Appendix Table VII with n 20 and 005, we nd that r*05 5 Since r 6 is not less than or 0 equal to the critical value r*05 5, we cannot reject the null hypothesis that the median shear 0 strength is 2000 psi We can also use Appendix Table VII for the sign test when a one-sided alternative hypothesis is appropriate If the alternative is H1: r* ; 0, reject H0: 0 if r if the alternative is H1: r* The level of significance of 0, reject H0: 0 if r a one-sided test is one-half the value for a two-sided test Appendix Table VII shows the one-sided significance levels in the column headings immediately below the two-sided levels.

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Finally, note that when a test statistic has a discrete distribution such as R does in the sign test, it may be impossible to choose a critical value r* that has a level of signi cance exactly equal to The approach used in Appendix Table VII is to choose r* to yield an that is as close to the advertised signi cance level as possible Ties in the Sign Test Since the underlying population is assumed to be continuous, there is a zero probability that we will nd a tie that is, a value of Xi exactly equal to 0 However, this may sometimes happen in practice because of the way the data are collected When ties occur, they should be set aside and the sign test applied to the remaining data..

2 3 4 2 3 4 18 19 20 8 12 1

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The Normal Approximation When p 0.5, the binomial distribution is well approximated by a normal distribution when n is at least 10. Thus, since the mean of the binomial is np and the variance is np(1 p), the distribution of R is approximately normal with mean 0.5n and variance 0.25n whenever n is moderately large. Therefore, in these cases the null hypothesis H0: 0 can be tested using the statistic

(15-5)

6 6 22 9 38 6

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The two-sided alternative would be rejected if the observed value of the test statistic 0 z0 0 z 2, and the critical regions of the one-sided alternative would be chosen to re ect the sense of the alternative. (If the alternative is H1: z , for example.) 0, reject H0 if z0 EXAMPLE 15-2 We will illustrate the normal approximation procedure by applying it to the problem in Example 15-1. Recall that the data for this example are in Table 15-1. The eight-step procedure follows: 1. 2. 3. 4. 5. The parameter of interest is the median of the distribution of propellant shear strength. 2000 psi 2000 psi 0.05 The test statistic is z0 r 0.5n 0.51n z0.025 1.96. H0: H1:

6. Since 0.05, we will reject H0 in favor of H1 if 0 z0 0 7. Computations: Since r 14, the test statistic is z0 8. 14 0.51202 1.789

7 7 23 13 39 14

Conclusions: Since z0 1.789 is not greater than z0.025 1.96, we cannot reject the null hypothesis. Thus, our conclusions are identical to those in Example 15-1.

15-2.2

The sign test can also be applied to paired observations drawn from continuous populations. Let (X1j, X2j), j 1, 2, . . . , n be a collection of paired observations from two continuous populations, and let Dj X1j X2j j 1, 2, . . . , n

8 8 24 2 40 1

be the paired differences. We wish to test the hypothesis that the two populations have a common median, that is, that 1 2. This is equivalent to testing that the median of the differences D 0. This can be done by applying the sign test to the n observed differences dj, as illustrated in the following example.

EXAMPLE 15-3

9 9 25 6 41 9

An automotive engineer is investigating two different types of metering devices for an electronic fuel injection system to determine whether they differ in their fuel mileage performance. The system is installed on 12 different cars, and a test is run with each metering device on each car. The observed fuel mileage performance data, corresponding differences, and their signs are shown in Table 15-2. We will use the sign test to determine whether the median fuel mileage performance is the same for both devices using 0.05. The eightstep-procedure follows: 1. 2. 3. 4. 5. 6. 7. 8. The parameters of interest are the median fuel mileage performance for the two metering devices. H0: H1:

1 1 2, 2,

1011 10 11 26 27 10 14 42 43 5 13

or, equivalently, H0: or, equivalently, H1:

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