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Suppose that observations X1, X2,鈥, Xn are made on a process at times 1, 2,鈥, n. On the basis of this data, we wish to test H0: the Xi鈥檚 constitute an independent and identically distributed sequence versus Ha: Xi11 tends to be larger than Xi for i =1,鈥, n (an increasing trend) Suppose the Xi鈥檚 are ranked from 1 to n. Then when Ha is true, larger ranks tend to occur later in the sequence, whereas if H0 is true, large and small ranks tend to be mixed together. Let Ri be the rank of Xi and consider the test statistic D = on i= 1(Ri = i)2.

Then small values of D give support to Ha (e.g., the smallest value is 0 for R1 = 10, R2 = 2,鈥, Rn= n). When H0 is true, any sequence of ranks has probability 1yn!. Use this to determine the P-value in the case n = 4, d= 2. (Hint: List the 4! rank sequences, compute d for each one, and then obtain the null distribution of D. See the Lehmann book (in the chapter bibliography), p. 290, for more information.).

Short Answer

Expert verified

The value of c= 2

Step by step solution

01

Wilcoxon rank sum test

The Wilcoxon test is based upon ranking the nA + nB observations of the combined sample. Each observation has a rank: the smallest has rank 1, the 2nd smallest rank 2, and so on. The Wilcoxon rank-sum test statistic is the sum of the ranks for observations from one of the samples.

02

Finding the value of c

Use n=4 and d=2. The following table represents all 4! rank sequences as well as

\(D = \sum\limits_{i = 1}^4 {({R_i}} - i{)^2}\)

\({r_1}\)

\({r_2}\)

\({r_3}\)

\({r_4}\)

d

1

2

3

4

0

1

2

4

3

2

1

3

2

4

2

1

3

4

2

6

1

4

2

3

6

1

4

3

2

8

2

1

3

4

2

2

1

4

3

4

2

3

1

4

6

2

3

4

1

12

2

4

1

3

10

2

4

3

1

14

3

1

2

4

6

3

1

4

2

10

3

2

1

4

8

3

2

4

1

14

3

4

1

2

16

3

4

2

1

18

4

1

2

3

12

4

1

3

2

14

4

2

1

3

14

4

2

3

1

18

4

3

1

2

18

4

3

2

1

20

Assume that H0 is true.The rank sequence is likely to happen. For example:

P(D=2)=P{1243}U{{1324}U{2134}}=1/24

d

0

2

4

6

8

10

12

14

16

18

20

p(d)

1/24

3/24

1/24

4/24

2/24

2/24

2/24

4/24

1/24

3/24

1/24

Value of c such that P(D鈮)鈮0.1

So the closest to the 0.1 significance level is c=2.

Hence, the final answer is c=2.

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Most popular questions from this chapter

The urinary fluoride concentration (parts per million) was measured both for a sample of livestock grazing in an area previously exposed to fluoride pollution and for a similar sample grazing in an unpolluted region:

Polluted

\(21.3\)

\(18.7\)

\(23.0\)

\(17.1\)

\(16.8\)

\(20.9\)

\(19.7\)

Unpolluted

\(14.2\)

\(18.3\)

\(17.2\)

\(18.4\)

\(20.0\)



Does the data indicate strongly that the true average fluoride concentration for livestock grazing in the polluted region is larger than for the unpolluted region? Use the Wilcoxon rank-sum test at level\(\alpha = .01\).

Use the large-sample version of the Wilcoxon test at significance level .05 on the data of Exercise 37 in Section 9.3 to decide whether the true mean difference between outdoor and indoor concentrations exceeds .20.

The following observations are amounts of hydrocarbon emissions resulting from road wear of bias-belted tires under a \(522\;{\rm{kg}}\) load inflated at\(228{\rm{kPa}}\)and driven at \(64\;{\rm{km}}/{\rm{hr}}\) for \(6\) hours ("characterization of Tire Emissions Using an Indoor Test Facility," Rubber Chemistry and Technology, \(1978:7 - 25\)): \(.045,.117,\)\(.062\), and \(.072\). What confidence levels are achievable for this sample size using the signed-rank interval? Select an appropriate confidence level and compute the interval.

Compute a \(99\% \) \(CI\) for \({\mu _1} - {\mu _2}\)using the data in Exercise \(12\).

The accompanying data is a subset of the data reported in the article 鈥淪ynovial Fluid pH, Lactate, Oxygen and Carbon Dioxide Partial Pressure in Various Joint Diseases鈥 (Arthritis and Rheumatism, 1971: 476鈥477). The observations are pH values of synovial fluid (which lubricates joints and tendons) taken from the knees of individuals suffering from arthritis. Assuming that true average pH for nonarthritic individuals is 7.39, test at level .05 to see whether the data indicates a difference between average pH values for arthritic and nonarthritic individuals.

7.02 7.35 7.34 7.17 7.28 7.77 7.09

7.22 7.45 6.95 7.40 7.10 7.32 7.14

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