A researcher wanted to know if individuals have better reaction times depending on when the test is taken -- in the morning or in the afternoon. He randomly assigned 16 participants to take the same reaction time test in either the morning or the afternoon. The following results were obtained, where lower scores indicate faster reaction time. Assume that the parametric test assumptions ARE violated. Conduct an appropriate statistical test using an alpha of .05 and the eight steps of hypothesis testing.  Note: more information given in table than is needed Individual Morning (X1) R1 X12 Individual Afternoon (X2) R2 X22 D Ranks D2 + - 1 79   6241 9 91   8281 -12   144     2 88   7744 10 92   8464 -4   16     3 95   9025 11 87   7569 8   64     4 78   6084 12 87   7569 -9   81     5 81   6561 13 94   8836 -13   169     6 83   6889 14 86   7396 -3   9     7 80   6400 15 82   6724 -2   4     8 84   7056 16 93   8649 -9   81     Total 668   56000   712   63488 -44   568     Means 83.5       89     -5.5

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A researcher wanted to know if individuals have better reaction times depending on when the test is taken -- in the morning or in the afternoon. He randomly assigned 16 participants to take the same reaction time test in either the morning or the afternoon. The following results were obtained, where lower scores indicate faster reaction time. Assume that the parametric test assumptions ARE violated. Conduct an appropriate statistical test using an alpha of .05 and the eight steps of hypothesis testing. 

Note: more information given in table than is needed

Individual

Morning (X1)

R1

X12

Individual

Afternoon

(X2)

R2

X22

D

Ranks

D2

+

-

1

79

 

6241

9

91

 

8281

-12

 

144

 

 

2

88

 

7744

10

92

 

8464

-4

 

16

 

 

3

95

 

9025

11

87

 

7569

8

 

64

 

 

4

78

 

6084

12

87

 

7569

-9

 

81

 

 

5

81

 

6561

13

94

 

8836

-13

 

169

 

 

6

83

 

6889

14

86

 

7396

-3

 

9

 

 

7

80

 

6400

15

82

 

6724

-2

 

4

 

 

8

84

 

7056

16

93

 

8649

-9

 

81

 

 

Total

668

 

56000

 

712

 

63488

-44

 

568

 

 

Means

83.5

 

 

 

89

 

 

-5.5

 

 

 

 

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