Deck 15: Nonparametric Statistics

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Question
Find the critical value at the <strong>Find the critical value at the   = 0.05 level for the following sample, for testing   versus  </strong> A) 3 B) 1 C) 2 D) 4 <div style=padding-top: 35px> = 0.05 level for the following sample, for testing <strong>Find the critical value at the   = 0.05 level for the following sample, for testing   versus  </strong> A) 3 B) 1 C) 2 D) 4 <div style=padding-top: 35px> versus <strong>Find the critical value at the   = 0.05 level for the following sample, for testing   versus  </strong> A) 3 B) 1 C) 2 D) 4 <div style=padding-top: 35px>

A) 3
B) 1
C) 2
D) 4
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Question
Fill in the blank with the appropriate word or phrase. The null hypothesis for the rank-sum test is that the two population <strong>Fill in the blank with the appropriate word or phrase. The null hypothesis for the rank-sum test is that the two population   are equal.</strong> A) modes B) rank-sums C) medians D) means <div style=padding-top: 35px> are equal.

A) modes
B) rank-sums
C) medians
D) means
Question
The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a Subject watched television on a designated Tuesday night. Lower values rank ahead of higher ones. <strong>The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a Subject watched television on a designated Tuesday night. Lower values rank ahead of higher ones.   a) Calculate the P-value. b) Can you conclude that the median times watching television are different? Use the   level Of significance. </strong> A) a) 0.1251 b) Yes, you can not conclude that the median times are different. B) a) 0.1251. b) No, you can not conclude that the median times are different. C) a) 0.2502. b) No, you can not conclude that the median times are different. D) a) 0.2502 b) Yes, you can not conclude that the median times are different. <div style=padding-top: 35px>
a) Calculate the P-value.
b) Can you conclude that the median times watching television are different? Use the <strong>The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a Subject watched television on a designated Tuesday night. Lower values rank ahead of higher ones.   a) Calculate the P-value. b) Can you conclude that the median times watching television are different? Use the   level Of significance. </strong> A) a) 0.1251 b) Yes, you can not conclude that the median times are different. B) a) 0.1251. b) No, you can not conclude that the median times are different. C) a) 0.2502. b) No, you can not conclude that the median times are different. D) a) 0.2502 b) Yes, you can not conclude that the median times are different. <div style=padding-top: 35px> level Of significance.

A)
a) 0.1251
b) Yes, you can not conclude that the median times are different.
B)
a) 0.1251.
b) No, you can not conclude that the median times are different.
C)
a) 0.2502.
b) No, you can not conclude that the median times are different.
D)
a) 0.2502
b) Yes, you can not conclude that the median times are different.
Question
The owners of a coffee stand hypothesize that the median number of sales during the hour from
10:00 AM to 11:00 AM is 25. They tabulated the following random sample of the number of sales
during the time period. The owners of a coffee stand hypothesize that the median number of sales during the hour from 10:00 AM to 11:00 AM is 25. They tabulated the following random sample of the number of sales during the time period.   Use the   level of significance and provide the following to provide the following information: a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion.<div style=padding-top: 35px> Use the The owners of a coffee stand hypothesize that the median number of sales during the hour from 10:00 AM to 11:00 AM is 25. They tabulated the following random sample of the number of sales during the time period.   Use the   level of significance and provide the following to provide the following information: a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion.<div style=padding-top: 35px> level of significance and provide the following to provide the following information:
a. State appropriate null and alternate hypotheses.
b. Compute the test statistic.
c. Find the critical value.
d. State a conclusion.
Question
A sample of 10 students took a class online and 12 students took an equivalent class in a traditional
classroom. Both classes were given the same final exam three weeks after the end of the courses.
The scores were as follows. A sample of 10 students took a class online and 12 students took an equivalent class in a traditional classroom. Both classes were given the same final exam three weeks after the end of the courses. The scores were as follows.   Can you conclude that the median score for the online class is less than for the traditional class? Use the α = 0.05 level of significance. a) State the null and alternate hypotheses. b) Compute the value of the test statistic. c) Compute the P-value. d) State a conclusion<div style=padding-top: 35px> Can you conclude that the median score for the online class is less than for the traditional class? Use the α =
0.05 level of significance.
a) State the null and alternate hypotheses.
b) Compute the value of the test statistic.
c) Compute the P-value.
d) State a conclusion
Question
The sign test is performed to test <strong>The sign test is performed to test   45. There are 13 positive signs and 5 negative signs. What is the value of the test statistic?</strong> A) 13 B) 8 C) 5 D) -8 <div style=padding-top: 35px> 45. There are 13 positive signs and 5 negative signs. What is the value of the test statistic?

A) 13
B) 8
C) 5
D) -8
Question
Given n1=19, n2=30, S=401, and H1: m1 <strong>Given n<sub>1</sub>=19, n<sub>2</sub>=30, S=401, and H<sub>1</sub>: m<sub>1</sub>  m<sub>2</sub> , find the P-value.</strong> A) 0.0643 B) 0.9357 C) 0.1286 D) 0.0322 <div style=padding-top: 35px> m2 , find the P-value.

A) 0.0643
B) 0.9357
C) 0.1286
D) 0.0322
Question
Heights, in feet, of a sample of 24 mature oak trees in a forest were measured. The results were as
follows. Heights, in feet, of a sample of 24 mature oak trees in a forest were measured. The results were as follows.   Can you conclude that the median height of oak trees in this forest is greater than 55 feet? Use the α = 0.05 level of significance. a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion.<div style=padding-top: 35px> Can you conclude that the median height of oak trees in this forest is greater than 55 feet? Use the α = 0.05
level of significance.
a. State appropriate null and alternate hypotheses.
b. Compute the test statistic.
c. Find the critical value.
d. State a conclusion.
Question
Given n1=16, n2=21, S=249, and H1: m12 , find the P-value.

A) 0.0455
B) 0.0910
C) 0.0228
D) 0.9545
Question
Fill in the blank with the appropriate word or phrase.
When performing the Rank-sum test we reject the null hypothesis when ? .

A) the P-value <strong>Fill in the blank with the appropriate word or phrase. When performing the Rank-sum test we reject the null hypothesis when ? .</strong> A) the P-value   B) the test statistic   C) the test statistic   D) the P-value >  <div style=padding-top: 35px>
B) the test statistic <strong>Fill in the blank with the appropriate word or phrase. When performing the Rank-sum test we reject the null hypothesis when ? .</strong> A) the P-value   B) the test statistic   C) the test statistic   D) the P-value >  <div style=padding-top: 35px>
C) the test statistic <strong>Fill in the blank with the appropriate word or phrase. When performing the Rank-sum test we reject the null hypothesis when ? .</strong> A) the P-value   B) the test statistic   C) the test statistic   D) the P-value >  <div style=padding-top: 35px>
D) the P-value ><strong>Fill in the blank with the appropriate word or phrase. When performing the Rank-sum test we reject the null hypothesis when ? .</strong> A) the P-value   B) the test statistic   C) the test statistic   D) the P-value >  <div style=padding-top: 35px>
Question
The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a
Subject watched television on a designated Tuesday night. In the process of computing the test
Value the data from both samples should be combined, arranged in order, and ranked according to
Each group. Calculate the sum of the ranks for both groups. Lower values rank ahead of higher
Ones. <strong>The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a Subject watched television on a designated Tuesday night. In the process of computing the test Value the data from both samples should be combined, arranged in order, and ranked according to Each group. Calculate the sum of the ranks for both groups. Lower values rank ahead of higher Ones.  </strong> A) The sum of the ranks for the men is 170, and the sum of the ranks for the woman is 130. B) The sum of the ranks for the men is 137.5, and the sum of the ranks for the woman is 162.5. C) The sum of the ranks for the men is 162.5, and the sum of the ranks for the woman is 137.5. D) The sum of the ranks for the men is 130, and the sum of the ranks for the woman is 170. <div style=padding-top: 35px>

A) The sum of the ranks for the men is 170, and the sum of the ranks for the woman is 130.
B) The sum of the ranks for the men is 137.5, and the sum of the ranks for the woman is 162.5.
C) The sum of the ranks for the men is 162.5, and the sum of the ranks for the woman is 137.5.
D) The sum of the ranks for the men is 130, and the sum of the ranks for the woman is 170.
Question
Monthly rents were recorded for a sample of 36 apartments in a certain city. The results were as follows. Monthly rents were recorded for a sample of 36 apartments in a certain city. The results were as follows.   Can you conclude that the median rent is less than $1,100 per month? Use the   level of significance. a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion.<div style=padding-top: 35px> Can you conclude that the median rent is less than $1,100 per month? Use the Monthly rents were recorded for a sample of 36 apartments in a certain city. The results were as follows.   Can you conclude that the median rent is less than $1,100 per month? Use the   level of significance. a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion.<div style=padding-top: 35px> level of
significance.
a. State appropriate null and alternate hypotheses.
b. Compute the test statistic.
c. Find the critical value.
d. State a conclusion.
Question
Given n1=20, n2=26, S=516, and H1: m1>m2
compute <strong>Given n<sub>1</sub>=20, n<sub>2</sub>=26, S=516, and H<sub>1</sub>: m<sub>1</sub>>m<sub>2</sub> compute  </strong> A) 21.85 B) 1.77 C) 1.02 D) 0.59 <div style=padding-top: 35px>

A) 21.85
B) 1.77
C) 1.02
D) 0.59
Question
Find the critical value at the <strong>Find the critical value at the   = 0.05 level for the following sample, for testing H<sub>0</sub>:m=55 versus  H<sub>1</sub>:m>55. 40 70 63 55 44 69 67 54 55 70 66 53 67 64</strong> A)4 B)2 C)1 D)3 <div style=padding-top: 35px> = 0.05 level for the following sample, for testing H0:m=55 versus H1:m>55.
40 70 63 55 44 69 67 54 55 70 66 53 67 64

A)4
B)2
C)1
D)3
Question
Given <strong>Given   compute  </strong> A) 287 B) -0.11 C) 35.27 D) 316 <div style=padding-top: 35px>
compute <strong>Given   compute  </strong> A) 287 B) -0.11 C) 35.27 D) 316 <div style=padding-top: 35px>

A) 287
B) -0.11
C) 35.27
D) 316
Question
The length of time that customers spent eating dinner was compared with and without music playing. The times, in minutes, were as follows. <strong>The length of time that customers spent eating dinner was compared with and without music playing. The times, in minutes, were as follows.   a) Compute the P-value. b) Can you conclude that the median times eating dinner differ with and without music? Use the   =0.01 level of significance. </strong> A) a) 0.0086. b) Yes, you can conclude that the median times are different. B) a) 0.0086 b) No, you cannot conclude that the median times are different. C) a) 0.0124. b) Yes, you can conclude that the median times are different. D) a) 0.0124 b) Yes, you can conclude that the median times are different. <div style=padding-top: 35px>
a) Compute the P-value.
b) Can you conclude that the median times eating dinner differ with and without music? Use the <strong>The length of time that customers spent eating dinner was compared with and without music playing. The times, in minutes, were as follows.   a) Compute the P-value. b) Can you conclude that the median times eating dinner differ with and without music? Use the   =0.01 level of significance. </strong> A) a) 0.0086. b) Yes, you can conclude that the median times are different. B) a) 0.0086 b) No, you cannot conclude that the median times are different. C) a) 0.0124. b) Yes, you can conclude that the median times are different. D) a) 0.0124 b) Yes, you can conclude that the median times are different. <div style=padding-top: 35px> =0.01 level of significance.

A)
a) 0.0086.
b) Yes, you can conclude that the median times are different.
B)
a) 0.0086
b) No, you cannot conclude that the median times are different.
C)
a) 0.0124.
b) Yes, you can conclude that the median times are different.
D)
a) 0.0124
b) Yes, you can conclude that the median times are different.
Question
A wild life biologist believes that the median length of the fish in a lake is 36 cm. A random sample of 14 fish yields the following lengths: <strong>A wild life biologist believes that the median length of the fish in a lake is 36 cm. A random sample of 14 fish yields the following lengths:   Test the biologist's hypothesis at  </strong> A) Reject the claim because the test value 4 is more than the critical value 3. B) Reject the claim because the test value 4 is more than the critical value 2. C) Do not reject the claim because the test value 3 is equal to the critical value 3. D) Do not reject the claim because the test value 3 is more than the critical value 2. <div style=padding-top: 35px> Test the biologist's hypothesis at <strong>A wild life biologist believes that the median length of the fish in a lake is 36 cm. A random sample of 14 fish yields the following lengths:   Test the biologist's hypothesis at  </strong> A) Reject the claim because the test value 4 is more than the critical value 3. B) Reject the claim because the test value 4 is more than the critical value 2. C) Do not reject the claim because the test value 3 is equal to the critical value 3. D) Do not reject the claim because the test value 3 is more than the critical value 2. <div style=padding-top: 35px>

A) Reject the claim because the test value 4 is more than the critical value 3.
B) Reject the claim because the test value 4 is more than the critical value 2.
C) Do not reject the claim because the test value 3 is equal to the critical value 3.
D) Do not reject the claim because the test value 3 is more than the critical value 2.
Question
The sign test is performed to test <strong>The sign test is performed to test   < 32. There are 14 positive signs and 19 negative signs in a test involving 33 samples. What is the value of the test statistic?</strong> A) -0.87 B) 0.87 C) 1.04 D) -0.70 <div style=padding-top: 35px> < 32. There are 14 positive signs and 19 negative signs in a test involving 33 samples. What is the value of the test statistic?

A) -0.87
B) 0.87
C) 1.04
D) -0.70
Question
Given <strong>Given   compute  </strong> A) 43.16 B) 414 C) 56 D) -0.37 <div style=padding-top: 35px>
compute <strong>Given   compute  </strong> A) 43.16 B) 414 C) 56 D) -0.37 <div style=padding-top: 35px>

A) 43.16
B) 414
C) 56
D) -0.37
Question
The sign test is performed to test The sign test is performed to test   00 versus   0. There are 13 plus signs, 24 minus signs, and 2 zeros. a. What is the test statistic? b. Is H<sub>0</sub> rejected at the  =0.05 level? c. Is H<sub>0</sub> rejected at the  =0.01 level?<div style=padding-top: 35px> 00 versus The sign test is performed to test   00 versus   0. There are 13 plus signs, 24 minus signs, and 2 zeros. a. What is the test statistic? b. Is H<sub>0</sub> rejected at the  =0.05 level? c. Is H<sub>0</sub> rejected at the  =0.01 level?<div style=padding-top: 35px> 0. There are 13 plus signs, 24
minus signs, and 2 zeros.
a. What is the test statistic?
b. Is H0 rejected at the The sign test is performed to test   00 versus   0. There are 13 plus signs, 24 minus signs, and 2 zeros. a. What is the test statistic? b. Is H<sub>0</sub> rejected at the  =0.05 level? c. Is H<sub>0</sub> rejected at the  =0.01 level?<div style=padding-top: 35px> =0.05 level?
c. Is H0 rejected at the The sign test is performed to test   00 versus   0. There are 13 plus signs, 24 minus signs, and 2 zeros. a. What is the test statistic? b. Is H<sub>0</sub> rejected at the  =0.05 level? c. Is H<sub>0</sub> rejected at the  =0.01 level?<div style=padding-top: 35px> =0.01 level?
Question
A consumer advice web site tested a fuel additive. The distance that 12 cars could travel on five gallons of gasoline was recorded without and then with the additive. The results were as follows. <strong>A consumer advice web site tested a fuel additive. The distance that 12 cars could travel on five gallons of gasoline was recorded without and then with the additive. The results were as follows.   a) Compute the test statistic b) Can you conclude that the median distance traveled with the additive difference from the median Distance traveled with the additive? Use the α = 0.05 level of significance. </strong> A) a) S=9 b) We can conclude that the median distances are different. B) a) S=12 b) We cannot conclude that the median distances are different. C) a) S=12 b) We can conclude that the median distances are different. D) a) S=9 b) We cannot conclude that the median distances are different. <div style=padding-top: 35px> a) Compute the test statistic
b) Can you conclude that the median distance traveled with the additive difference from the median
Distance traveled with the additive? Use the α = 0.05 level of significance.

A) a) S=9
b) We can conclude that the median distances are different.
B) a) S=12
b) We cannot conclude that the median distances are different.
C) a) S=12
b) We can conclude that the median distances are different.
D) a) S=9
b) We cannot conclude that the median distances are different.
Question
If the test value for a signed-rank test is 18, the sample size is 13, and the test is to be carried out at the <strong>If the test value for a signed-rank test is 18, the sample size is 13, and the test is to be carried out at the   level of significance, should the null hypothesis be rejected? Use the table of critical Values for the signed-rank test below.  </strong> A) Reject H<sub>0</sub>  because the test value 18 is less than the critical value 20 . B) Do not reject  H<sub>0</sub>  because the test value 18 is less than the critical value 20 . C) Reject  H<sub>0</sub> because the test value 18 is greater than the critical value 17 . D) Do not reject  H<sub>0</sub> because the test value 18 is greater than the critical value 17 . <div style=padding-top: 35px> level of significance, should the null hypothesis be rejected? Use the table of critical
Values for the signed-rank test below.
<strong>If the test value for a signed-rank test is 18, the sample size is 13, and the test is to be carried out at the   level of significance, should the null hypothesis be rejected? Use the table of critical Values for the signed-rank test below.  </strong> A) Reject H<sub>0</sub>  because the test value 18 is less than the critical value 20 . B) Do not reject  H<sub>0</sub>  because the test value 18 is less than the critical value 20 . C) Reject  H<sub>0</sub> because the test value 18 is greater than the critical value 17 . D) Do not reject  H<sub>0</sub> because the test value 18 is greater than the critical value 17 . <div style=padding-top: 35px>

A) Reject H0 because the test value 18 is less than the critical value 20 .
B) Do not reject H0 because the test value 18 is less than the critical value 20 .
C) Reject H0 because the test value 18 is greater than the critical value 17 .
D) Do not reject H0 because the test value 18 is greater than the critical value 17 .
Question
For the following data, compute the test statistic and the critical value, and determine whether to reject <strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=5, Critical value is 6, Reject H<sub>0</sub> B) S=5, Critical value is 6, Do not reject H<sub>0</sub> C) S=6, Critical value is 4, Reject H<sub>0</sub> D) S=6, Critical value is 4, Do not reject H<sub>0</sub> <div style=padding-top: 35px> at the <strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=5, Critical value is 6, Reject H<sub>0</sub> B) S=5, Critical value is 6, Do not reject H<sub>0</sub> C) S=6, Critical value is 4, Reject H<sub>0</sub> D) S=6, Critical value is 4, Do not reject H<sub>0</sub> <div style=padding-top: 35px> level.
<strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=5, Critical value is 6, Reject H<sub>0</sub> B) S=5, Critical value is 6, Do not reject H<sub>0</sub> C) S=6, Critical value is 4, Reject H<sub>0</sub> D) S=6, Critical value is 4, Do not reject H<sub>0</sub> <div style=padding-top: 35px>

A) S=5, Critical value is 6, Reject H0
B) S=5, Critical value is 6, Do not reject H0
C) S=6, Critical value is 4, Reject H0
D) S=6, Critical value is 4, Do not reject H0
Question
For the following data, compute the test statistic and the critical value, and determine whether to reject <strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=4, Critical value is 4, Do not reject H<sub>0</sub> B) S=5, Critical value is 8, Do not reject H<sub>0</sub> C) S=5, Critical value is 8, Reject H<sub>0</sub> D) S=4, Critical value is 4 , Reject H<sub>0</sub> <div style=padding-top: 35px> at the <strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=4, Critical value is 4, Do not reject H<sub>0</sub> B) S=5, Critical value is 8, Do not reject H<sub>0</sub> C) S=5, Critical value is 8, Reject H<sub>0</sub> D) S=4, Critical value is 4 , Reject H<sub>0</sub> <div style=padding-top: 35px> level.
<strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=4, Critical value is 4, Do not reject H<sub>0</sub> B) S=5, Critical value is 8, Do not reject H<sub>0</sub> C) S=5, Critical value is 8, Reject H<sub>0</sub> D) S=4, Critical value is 4 , Reject H<sub>0</sub> <div style=padding-top: 35px>

A) S=4, Critical value is 4, Do not reject H0
B) S=5, Critical value is 8, Do not reject H0
C) S=5, Critical value is 8, Reject H0
D) S=4, Critical value is 4 , Reject H0
Question
Ten subjects were weighed before and after a new diet. The results were as follows. <strong>Ten subjects were weighed before and after a new diet. The results were as follows.   a) Compute the test statistic b) Can you conclude that the median weight differs before and after the diet? Use the α = 0.05 level Of significance. </strong> A) a) S=11 b)We cannot conclude that the weights before and after the diet are different. B) a) S=11 b) We can conclude that the weights before and after the diet are different. C) a) S=10 b) We cannot conclude that the weights before and after the diet are different. D) a) S=10 b) We can conclude that the weights before and after the diet are different. <div style=padding-top: 35px> a) Compute the test statistic b) Can you conclude that the median weight differs before and after the diet? Use the α = 0.05 level Of significance.

A) a) S=11
b)We cannot conclude that the weights before and after the diet are different.
B) a) S=11
b) We can conclude that the weights before and after the diet are different.
C) a) S=10
b) We cannot conclude that the weights before and after the diet are different.
D) a) S=10
b) We can conclude that the weights before and after the diet are different.
Question
A sample of eight people attended a two day course that prepares students for college admission testing. The students were given a pretest before the course and a posttest after the course. The results were as follows.
<strong>A sample of eight people attended a two day course that prepares students for college admission testing. The students were given a pretest before the course and a posttest after the course. The results were as follows.    a) Compute the test statistic b) Can you conclude that the median scores differ between the pretest and posttest? Use the α = 0.10 Level of significance. </strong> A) a) S=10 b) We cannot conclude that the median of the pretests and posttests are different. B) a) S=10 b) We can conclude that the median of the pretests and posttests are different. C) a) S=9 b) We cannot conclude that the median of the pretests and posttests are different. D) a) S=9 b) We can conclude that the median of the pretests and posttests are different. <div style=padding-top: 35px>

a) Compute the test statistic
b) Can you conclude that the median scores differ between the pretest and posttest? Use the α = 0.10
Level of significance.

A) a) S=10
b) We cannot conclude that the median of the pretests and posttests are different.
B) a) S=10
b) We can conclude that the median of the pretests and posttests are different.
C) a) S=9
b) We cannot conclude that the median of the pretests and posttests are different.
D) a) S=9
b) We can conclude that the median of the pretests and posttests are different.
Question
Six second-graders tried tossing a ball into a basket ten times each. Their teacher then suggested a different way of tossing the ball, and the six students tried again. The number of successful tosses,
Before and after the teacher's suggestion, are shown below. <strong>Six second-graders tried tossing a ball into a basket ten times each. Their teacher then suggested a different way of tossing the ball, and the six students tried again. The number of successful tosses, Before and after the teacher's suggestion, are shown below.   Compute S, the test statistic for a signed-rank test.</strong> A) S = 2 B) S = 6 C) S = 7 D) S = 3 <div style=padding-top: 35px> Compute S, the test statistic for a signed-rank test.

A) S = 2
B) S = 6
C) S = 7
D) S = 3
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Deck 15: Nonparametric Statistics
1
Find the critical value at the <strong>Find the critical value at the   = 0.05 level for the following sample, for testing   versus  </strong> A) 3 B) 1 C) 2 D) 4 = 0.05 level for the following sample, for testing <strong>Find the critical value at the   = 0.05 level for the following sample, for testing   versus  </strong> A) 3 B) 1 C) 2 D) 4 versus <strong>Find the critical value at the   = 0.05 level for the following sample, for testing   versus  </strong> A) 3 B) 1 C) 2 D) 4

A) 3
B) 1
C) 2
D) 4
1
2
Fill in the blank with the appropriate word or phrase. The null hypothesis for the rank-sum test is that the two population <strong>Fill in the blank with the appropriate word or phrase. The null hypothesis for the rank-sum test is that the two population   are equal.</strong> A) modes B) rank-sums C) medians D) means are equal.

A) modes
B) rank-sums
C) medians
D) means
medians
3
The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a Subject watched television on a designated Tuesday night. Lower values rank ahead of higher ones. <strong>The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a Subject watched television on a designated Tuesday night. Lower values rank ahead of higher ones.   a) Calculate the P-value. b) Can you conclude that the median times watching television are different? Use the   level Of significance. </strong> A) a) 0.1251 b) Yes, you can not conclude that the median times are different. B) a) 0.1251. b) No, you can not conclude that the median times are different. C) a) 0.2502. b) No, you can not conclude that the median times are different. D) a) 0.2502 b) Yes, you can not conclude that the median times are different.
a) Calculate the P-value.
b) Can you conclude that the median times watching television are different? Use the <strong>The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a Subject watched television on a designated Tuesday night. Lower values rank ahead of higher ones.   a) Calculate the P-value. b) Can you conclude that the median times watching television are different? Use the   level Of significance. </strong> A) a) 0.1251 b) Yes, you can not conclude that the median times are different. B) a) 0.1251. b) No, you can not conclude that the median times are different. C) a) 0.2502. b) No, you can not conclude that the median times are different. D) a) 0.2502 b) Yes, you can not conclude that the median times are different. level Of significance.

A)
a) 0.1251
b) Yes, you can not conclude that the median times are different.
B)
a) 0.1251.
b) No, you can not conclude that the median times are different.
C)
a) 0.2502.
b) No, you can not conclude that the median times are different.
D)
a) 0.2502
b) Yes, you can not conclude that the median times are different.
a) 0.2502.
b) No, you can not conclude that the median times are different.
4
The owners of a coffee stand hypothesize that the median number of sales during the hour from
10:00 AM to 11:00 AM is 25. They tabulated the following random sample of the number of sales
during the time period. The owners of a coffee stand hypothesize that the median number of sales during the hour from 10:00 AM to 11:00 AM is 25. They tabulated the following random sample of the number of sales during the time period.   Use the   level of significance and provide the following to provide the following information: a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion. Use the The owners of a coffee stand hypothesize that the median number of sales during the hour from 10:00 AM to 11:00 AM is 25. They tabulated the following random sample of the number of sales during the time period.   Use the   level of significance and provide the following to provide the following information: a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion. level of significance and provide the following to provide the following information:
a. State appropriate null and alternate hypotheses.
b. Compute the test statistic.
c. Find the critical value.
d. State a conclusion.
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5
A sample of 10 students took a class online and 12 students took an equivalent class in a traditional
classroom. Both classes were given the same final exam three weeks after the end of the courses.
The scores were as follows. A sample of 10 students took a class online and 12 students took an equivalent class in a traditional classroom. Both classes were given the same final exam three weeks after the end of the courses. The scores were as follows.   Can you conclude that the median score for the online class is less than for the traditional class? Use the α = 0.05 level of significance. a) State the null and alternate hypotheses. b) Compute the value of the test statistic. c) Compute the P-value. d) State a conclusion Can you conclude that the median score for the online class is less than for the traditional class? Use the α =
0.05 level of significance.
a) State the null and alternate hypotheses.
b) Compute the value of the test statistic.
c) Compute the P-value.
d) State a conclusion
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6
The sign test is performed to test <strong>The sign test is performed to test   45. There are 13 positive signs and 5 negative signs. What is the value of the test statistic?</strong> A) 13 B) 8 C) 5 D) -8 45. There are 13 positive signs and 5 negative signs. What is the value of the test statistic?

A) 13
B) 8
C) 5
D) -8
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7
Given n1=19, n2=30, S=401, and H1: m1 <strong>Given n<sub>1</sub>=19, n<sub>2</sub>=30, S=401, and H<sub>1</sub>: m<sub>1</sub>  m<sub>2</sub> , find the P-value.</strong> A) 0.0643 B) 0.9357 C) 0.1286 D) 0.0322 m2 , find the P-value.

A) 0.0643
B) 0.9357
C) 0.1286
D) 0.0322
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8
Heights, in feet, of a sample of 24 mature oak trees in a forest were measured. The results were as
follows. Heights, in feet, of a sample of 24 mature oak trees in a forest were measured. The results were as follows.   Can you conclude that the median height of oak trees in this forest is greater than 55 feet? Use the α = 0.05 level of significance. a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion. Can you conclude that the median height of oak trees in this forest is greater than 55 feet? Use the α = 0.05
level of significance.
a. State appropriate null and alternate hypotheses.
b. Compute the test statistic.
c. Find the critical value.
d. State a conclusion.
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9
Given n1=16, n2=21, S=249, and H1: m12 , find the P-value.

A) 0.0455
B) 0.0910
C) 0.0228
D) 0.9545
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10
Fill in the blank with the appropriate word or phrase.
When performing the Rank-sum test we reject the null hypothesis when ? .

A) the P-value <strong>Fill in the blank with the appropriate word or phrase. When performing the Rank-sum test we reject the null hypothesis when ? .</strong> A) the P-value   B) the test statistic   C) the test statistic   D) the P-value >
B) the test statistic <strong>Fill in the blank with the appropriate word or phrase. When performing the Rank-sum test we reject the null hypothesis when ? .</strong> A) the P-value   B) the test statistic   C) the test statistic   D) the P-value >
C) the test statistic <strong>Fill in the blank with the appropriate word or phrase. When performing the Rank-sum test we reject the null hypothesis when ? .</strong> A) the P-value   B) the test statistic   C) the test statistic   D) the P-value >
D) the P-value ><strong>Fill in the blank with the appropriate word or phrase. When performing the Rank-sum test we reject the null hypothesis when ? .</strong> A) the P-value   B) the test statistic   C) the test statistic   D) the P-value >
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11
The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a
Subject watched television on a designated Tuesday night. In the process of computing the test
Value the data from both samples should be combined, arranged in order, and ranked according to
Each group. Calculate the sum of the ranks for both groups. Lower values rank ahead of higher
Ones. <strong>The following data was collected as part of a study examining whether there is a difference between the number of hours men and women watch television. The values represent the number of hours a Subject watched television on a designated Tuesday night. In the process of computing the test Value the data from both samples should be combined, arranged in order, and ranked according to Each group. Calculate the sum of the ranks for both groups. Lower values rank ahead of higher Ones.  </strong> A) The sum of the ranks for the men is 170, and the sum of the ranks for the woman is 130. B) The sum of the ranks for the men is 137.5, and the sum of the ranks for the woman is 162.5. C) The sum of the ranks for the men is 162.5, and the sum of the ranks for the woman is 137.5. D) The sum of the ranks for the men is 130, and the sum of the ranks for the woman is 170.

A) The sum of the ranks for the men is 170, and the sum of the ranks for the woman is 130.
B) The sum of the ranks for the men is 137.5, and the sum of the ranks for the woman is 162.5.
C) The sum of the ranks for the men is 162.5, and the sum of the ranks for the woman is 137.5.
D) The sum of the ranks for the men is 130, and the sum of the ranks for the woman is 170.
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12
Monthly rents were recorded for a sample of 36 apartments in a certain city. The results were as follows. Monthly rents were recorded for a sample of 36 apartments in a certain city. The results were as follows.   Can you conclude that the median rent is less than $1,100 per month? Use the   level of significance. a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion. Can you conclude that the median rent is less than $1,100 per month? Use the Monthly rents were recorded for a sample of 36 apartments in a certain city. The results were as follows.   Can you conclude that the median rent is less than $1,100 per month? Use the   level of significance. a. State appropriate null and alternate hypotheses. b. Compute the test statistic. c. Find the critical value. d. State a conclusion. level of
significance.
a. State appropriate null and alternate hypotheses.
b. Compute the test statistic.
c. Find the critical value.
d. State a conclusion.
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13
Given n1=20, n2=26, S=516, and H1: m1>m2
compute <strong>Given n<sub>1</sub>=20, n<sub>2</sub>=26, S=516, and H<sub>1</sub>: m<sub>1</sub>>m<sub>2</sub> compute  </strong> A) 21.85 B) 1.77 C) 1.02 D) 0.59

A) 21.85
B) 1.77
C) 1.02
D) 0.59
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14
Find the critical value at the <strong>Find the critical value at the   = 0.05 level for the following sample, for testing H<sub>0</sub>:m=55 versus  H<sub>1</sub>:m>55. 40 70 63 55 44 69 67 54 55 70 66 53 67 64</strong> A)4 B)2 C)1 D)3 = 0.05 level for the following sample, for testing H0:m=55 versus H1:m>55.
40 70 63 55 44 69 67 54 55 70 66 53 67 64

A)4
B)2
C)1
D)3
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15
Given <strong>Given   compute  </strong> A) 287 B) -0.11 C) 35.27 D) 316
compute <strong>Given   compute  </strong> A) 287 B) -0.11 C) 35.27 D) 316

A) 287
B) -0.11
C) 35.27
D) 316
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16
The length of time that customers spent eating dinner was compared with and without music playing. The times, in minutes, were as follows. <strong>The length of time that customers spent eating dinner was compared with and without music playing. The times, in minutes, were as follows.   a) Compute the P-value. b) Can you conclude that the median times eating dinner differ with and without music? Use the   =0.01 level of significance. </strong> A) a) 0.0086. b) Yes, you can conclude that the median times are different. B) a) 0.0086 b) No, you cannot conclude that the median times are different. C) a) 0.0124. b) Yes, you can conclude that the median times are different. D) a) 0.0124 b) Yes, you can conclude that the median times are different.
a) Compute the P-value.
b) Can you conclude that the median times eating dinner differ with and without music? Use the <strong>The length of time that customers spent eating dinner was compared with and without music playing. The times, in minutes, were as follows.   a) Compute the P-value. b) Can you conclude that the median times eating dinner differ with and without music? Use the   =0.01 level of significance. </strong> A) a) 0.0086. b) Yes, you can conclude that the median times are different. B) a) 0.0086 b) No, you cannot conclude that the median times are different. C) a) 0.0124. b) Yes, you can conclude that the median times are different. D) a) 0.0124 b) Yes, you can conclude that the median times are different. =0.01 level of significance.

A)
a) 0.0086.
b) Yes, you can conclude that the median times are different.
B)
a) 0.0086
b) No, you cannot conclude that the median times are different.
C)
a) 0.0124.
b) Yes, you can conclude that the median times are different.
D)
a) 0.0124
b) Yes, you can conclude that the median times are different.
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17
A wild life biologist believes that the median length of the fish in a lake is 36 cm. A random sample of 14 fish yields the following lengths: <strong>A wild life biologist believes that the median length of the fish in a lake is 36 cm. A random sample of 14 fish yields the following lengths:   Test the biologist's hypothesis at  </strong> A) Reject the claim because the test value 4 is more than the critical value 3. B) Reject the claim because the test value 4 is more than the critical value 2. C) Do not reject the claim because the test value 3 is equal to the critical value 3. D) Do not reject the claim because the test value 3 is more than the critical value 2. Test the biologist's hypothesis at <strong>A wild life biologist believes that the median length of the fish in a lake is 36 cm. A random sample of 14 fish yields the following lengths:   Test the biologist's hypothesis at  </strong> A) Reject the claim because the test value 4 is more than the critical value 3. B) Reject the claim because the test value 4 is more than the critical value 2. C) Do not reject the claim because the test value 3 is equal to the critical value 3. D) Do not reject the claim because the test value 3 is more than the critical value 2.

A) Reject the claim because the test value 4 is more than the critical value 3.
B) Reject the claim because the test value 4 is more than the critical value 2.
C) Do not reject the claim because the test value 3 is equal to the critical value 3.
D) Do not reject the claim because the test value 3 is more than the critical value 2.
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18
The sign test is performed to test <strong>The sign test is performed to test   < 32. There are 14 positive signs and 19 negative signs in a test involving 33 samples. What is the value of the test statistic?</strong> A) -0.87 B) 0.87 C) 1.04 D) -0.70 < 32. There are 14 positive signs and 19 negative signs in a test involving 33 samples. What is the value of the test statistic?

A) -0.87
B) 0.87
C) 1.04
D) -0.70
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19
Given <strong>Given   compute  </strong> A) 43.16 B) 414 C) 56 D) -0.37
compute <strong>Given   compute  </strong> A) 43.16 B) 414 C) 56 D) -0.37

A) 43.16
B) 414
C) 56
D) -0.37
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20
The sign test is performed to test The sign test is performed to test   00 versus   0. There are 13 plus signs, 24 minus signs, and 2 zeros. a. What is the test statistic? b. Is H<sub>0</sub> rejected at the  =0.05 level? c. Is H<sub>0</sub> rejected at the  =0.01 level? 00 versus The sign test is performed to test   00 versus   0. There are 13 plus signs, 24 minus signs, and 2 zeros. a. What is the test statistic? b. Is H<sub>0</sub> rejected at the  =0.05 level? c. Is H<sub>0</sub> rejected at the  =0.01 level? 0. There are 13 plus signs, 24
minus signs, and 2 zeros.
a. What is the test statistic?
b. Is H0 rejected at the The sign test is performed to test   00 versus   0. There are 13 plus signs, 24 minus signs, and 2 zeros. a. What is the test statistic? b. Is H<sub>0</sub> rejected at the  =0.05 level? c. Is H<sub>0</sub> rejected at the  =0.01 level?=0.05 level?
c. Is H0 rejected at the The sign test is performed to test   00 versus   0. There are 13 plus signs, 24 minus signs, and 2 zeros. a. What is the test statistic? b. Is H<sub>0</sub> rejected at the  =0.05 level? c. Is H<sub>0</sub> rejected at the  =0.01 level?=0.01 level?
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21
A consumer advice web site tested a fuel additive. The distance that 12 cars could travel on five gallons of gasoline was recorded without and then with the additive. The results were as follows. <strong>A consumer advice web site tested a fuel additive. The distance that 12 cars could travel on five gallons of gasoline was recorded without and then with the additive. The results were as follows.   a) Compute the test statistic b) Can you conclude that the median distance traveled with the additive difference from the median Distance traveled with the additive? Use the α = 0.05 level of significance. </strong> A) a) S=9 b) We can conclude that the median distances are different. B) a) S=12 b) We cannot conclude that the median distances are different. C) a) S=12 b) We can conclude that the median distances are different. D) a) S=9 b) We cannot conclude that the median distances are different. a) Compute the test statistic
b) Can you conclude that the median distance traveled with the additive difference from the median
Distance traveled with the additive? Use the α = 0.05 level of significance.

A) a) S=9
b) We can conclude that the median distances are different.
B) a) S=12
b) We cannot conclude that the median distances are different.
C) a) S=12
b) We can conclude that the median distances are different.
D) a) S=9
b) We cannot conclude that the median distances are different.
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22
If the test value for a signed-rank test is 18, the sample size is 13, and the test is to be carried out at the <strong>If the test value for a signed-rank test is 18, the sample size is 13, and the test is to be carried out at the   level of significance, should the null hypothesis be rejected? Use the table of critical Values for the signed-rank test below.  </strong> A) Reject H<sub>0</sub>  because the test value 18 is less than the critical value 20 . B) Do not reject  H<sub>0</sub>  because the test value 18 is less than the critical value 20 . C) Reject  H<sub>0</sub> because the test value 18 is greater than the critical value 17 . D) Do not reject  H<sub>0</sub> because the test value 18 is greater than the critical value 17 . level of significance, should the null hypothesis be rejected? Use the table of critical
Values for the signed-rank test below.
<strong>If the test value for a signed-rank test is 18, the sample size is 13, and the test is to be carried out at the   level of significance, should the null hypothesis be rejected? Use the table of critical Values for the signed-rank test below.  </strong> A) Reject H<sub>0</sub>  because the test value 18 is less than the critical value 20 . B) Do not reject  H<sub>0</sub>  because the test value 18 is less than the critical value 20 . C) Reject  H<sub>0</sub> because the test value 18 is greater than the critical value 17 . D) Do not reject  H<sub>0</sub> because the test value 18 is greater than the critical value 17 .

A) Reject H0 because the test value 18 is less than the critical value 20 .
B) Do not reject H0 because the test value 18 is less than the critical value 20 .
C) Reject H0 because the test value 18 is greater than the critical value 17 .
D) Do not reject H0 because the test value 18 is greater than the critical value 17 .
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23
For the following data, compute the test statistic and the critical value, and determine whether to reject <strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=5, Critical value is 6, Reject H<sub>0</sub> B) S=5, Critical value is 6, Do not reject H<sub>0</sub> C) S=6, Critical value is 4, Reject H<sub>0</sub> D) S=6, Critical value is 4, Do not reject H<sub>0</sub> at the <strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=5, Critical value is 6, Reject H<sub>0</sub> B) S=5, Critical value is 6, Do not reject H<sub>0</sub> C) S=6, Critical value is 4, Reject H<sub>0</sub> D) S=6, Critical value is 4, Do not reject H<sub>0</sub> level.
<strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=5, Critical value is 6, Reject H<sub>0</sub> B) S=5, Critical value is 6, Do not reject H<sub>0</sub> C) S=6, Critical value is 4, Reject H<sub>0</sub> D) S=6, Critical value is 4, Do not reject H<sub>0</sub>

A) S=5, Critical value is 6, Reject H0
B) S=5, Critical value is 6, Do not reject H0
C) S=6, Critical value is 4, Reject H0
D) S=6, Critical value is 4, Do not reject H0
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24
For the following data, compute the test statistic and the critical value, and determine whether to reject <strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=4, Critical value is 4, Do not reject H<sub>0</sub> B) S=5, Critical value is 8, Do not reject H<sub>0</sub> C) S=5, Critical value is 8, Reject H<sub>0</sub> D) S=4, Critical value is 4 , Reject H<sub>0</sub> at the <strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=4, Critical value is 4, Do not reject H<sub>0</sub> B) S=5, Critical value is 8, Do not reject H<sub>0</sub> C) S=5, Critical value is 8, Reject H<sub>0</sub> D) S=4, Critical value is 4 , Reject H<sub>0</sub> level.
<strong>For the following data, compute the test statistic and the critical value, and determine whether to reject   at the   level.  </strong> A) S=4, Critical value is 4, Do not reject H<sub>0</sub> B) S=5, Critical value is 8, Do not reject H<sub>0</sub> C) S=5, Critical value is 8, Reject H<sub>0</sub> D) S=4, Critical value is 4 , Reject H<sub>0</sub>

A) S=4, Critical value is 4, Do not reject H0
B) S=5, Critical value is 8, Do not reject H0
C) S=5, Critical value is 8, Reject H0
D) S=4, Critical value is 4 , Reject H0
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25
Ten subjects were weighed before and after a new diet. The results were as follows. <strong>Ten subjects were weighed before and after a new diet. The results were as follows.   a) Compute the test statistic b) Can you conclude that the median weight differs before and after the diet? Use the α = 0.05 level Of significance. </strong> A) a) S=11 b)We cannot conclude that the weights before and after the diet are different. B) a) S=11 b) We can conclude that the weights before and after the diet are different. C) a) S=10 b) We cannot conclude that the weights before and after the diet are different. D) a) S=10 b) We can conclude that the weights before and after the diet are different. a) Compute the test statistic b) Can you conclude that the median weight differs before and after the diet? Use the α = 0.05 level Of significance.

A) a) S=11
b)We cannot conclude that the weights before and after the diet are different.
B) a) S=11
b) We can conclude that the weights before and after the diet are different.
C) a) S=10
b) We cannot conclude that the weights before and after the diet are different.
D) a) S=10
b) We can conclude that the weights before and after the diet are different.
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26
A sample of eight people attended a two day course that prepares students for college admission testing. The students were given a pretest before the course and a posttest after the course. The results were as follows.
<strong>A sample of eight people attended a two day course that prepares students for college admission testing. The students were given a pretest before the course and a posttest after the course. The results were as follows.    a) Compute the test statistic b) Can you conclude that the median scores differ between the pretest and posttest? Use the α = 0.10 Level of significance. </strong> A) a) S=10 b) We cannot conclude that the median of the pretests and posttests are different. B) a) S=10 b) We can conclude that the median of the pretests and posttests are different. C) a) S=9 b) We cannot conclude that the median of the pretests and posttests are different. D) a) S=9 b) We can conclude that the median of the pretests and posttests are different.

a) Compute the test statistic
b) Can you conclude that the median scores differ between the pretest and posttest? Use the α = 0.10
Level of significance.

A) a) S=10
b) We cannot conclude that the median of the pretests and posttests are different.
B) a) S=10
b) We can conclude that the median of the pretests and posttests are different.
C) a) S=9
b) We cannot conclude that the median of the pretests and posttests are different.
D) a) S=9
b) We can conclude that the median of the pretests and posttests are different.
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27
Six second-graders tried tossing a ball into a basket ten times each. Their teacher then suggested a different way of tossing the ball, and the six students tried again. The number of successful tosses,
Before and after the teacher's suggestion, are shown below. <strong>Six second-graders tried tossing a ball into a basket ten times each. Their teacher then suggested a different way of tossing the ball, and the six students tried again. The number of successful tosses, Before and after the teacher's suggestion, are shown below.   Compute S, the test statistic for a signed-rank test.</strong> A) S = 2 B) S = 6 C) S = 7 D) S = 3 Compute S, the test statistic for a signed-rank test.

A) S = 2
B) S = 6
C) S = 7
D) S = 3
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