Critical Values for Mann-Whitney U Test

(from Billet, P. (2004) 'The Open Door Website: Critical Values for the Mann-Whitney U-Test' http://www.saburchill.com/IBbiology/stats/003.html (online) [accessed 06/05/05])

USE THIS TABLE TO FIND OUT IF YOUR VALUE FOR (Mann-Whitney) U IS SIGNIFICANT.

The value you obtained must be less than or equal to the value given in the table for your sample sizes (N) in order to be significant.
Level of significance: 5% (P = 0.05 two-tailed, and p=0.025 one-tailed test)
    Size of the largest sample (NB)
    5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Size of the smallest sample (NA) 3 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 13 13
4 1 2 3 4 4 5 6 7 8 9 10 11 11 12 13 14 15 16 17 17 18 19 20 21 22 23
5 2 3 5 6 7 8 9 11 12 13 14 15 17 18 19 20 22 23 24 25 27 28 29 30 32 33
6   5 6 8 10 11 13 14 16 17 19 21 22 24 25 27 29 30 32 33 35 37 38 40 42 43
7     8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54
8       13 15 17 19 22 24 26 29 31 34 36 38 41 43 45 48 50 53 55 57 60 62 65
9         17 20 23 26 28 31 34 37 39 42 45 48 50 53 56 59 62 64 67 70 73 76
10           23 26 29 33 36 39 42 45 48 52 55 58 61 64 67 71 74 77 80 83 87
11             30 33 37 40 44 47 51 55 58 62 65 69 73 76 80 83 87 90 94 98
12               37 41 45 49 53 57 61 65 69 73 77 81 85 89 93 97 101 105 109
13                 45 50 54 59 63 67 72 76 80 85 89 94 98 102 107 111 116 120
14                   55 59 64 67 74 78 83 88 93 98 102 107 112 118 122 127 131
15                     64 70 75 80 85 90 96 101 106 111 117 122 125 132 138 143
16                       75 81 86 92 98 103 109 115 120 126 132 138 143 149 154
17                         87 93 99 105 111 117 123 129 135 141 147 154 160 166
18                           99 106 112 119 125 132 138 145 151 158 164 171 177
19                             113 119 126 133 140 147 154 161 168 175 182 189
20                               127 134 141 149 156 163 171 178 186 193 200
21                                 142 150 157 165 173 181 188 196 204 212
22                                   158 166 174 182 191 199 207 215 223
23                                     175 183 192 200 209 218 226 235
24                                       192 201 210 219 228 238 247
25                                         211 220 230 239 249 258
26                                           230 240 250 260 270
27                                             250 261 271 282
28                                               272 282 293
29                                                 294 305
30                                                   317


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Critical Values for Wilcoxon's T Test

USE THIS TABLE TO FIND OUT IF YOUR VALUE FOR (Wilcoxon) T IS SIGNIFICANT.
The value you obtained must be less than or equal to  the value given in the table for your sample sizes (N) in order to be significant.
p is the probability of your results occurring by chance (as stated by the null hypothesis), so the lower the value of p, the more certain you can be that your result is significant.
eg. p=0.10 means a 1 in 10 probability the result occurred by chance, whereas p=0.025 mean a 25 in a 1000 (1 in 40) probability the result occurred by chance.
1 tailed
2 tailed
0.05
0.10
0.025
0.05
0.01
0.02
0.001
0.002
N
       
6
2
0
   
7
3
2
0
 
8
5
3
1
 
9
8
5
3
 
10
10
8
5
0
11
13
10
7
1
12
17
13
9
2
13
21
17
12
4
14
25
21
15
6
15
30
25
19
8
16
35
29
23
11
17
41
34
27
14
18
47
40
32
18
19
53
46
37
21
1 tailed
2 tailed
0.05
0.10
0.025
0.05
0.01
0.02
0.001
0.002
N
       
20
60
52
43
26
21
67
58
49
30
22
75
65
55
35
23
83
73
62
40
24
91
81
69
45
25
100
89
76
51
26
110
98
84
58
27
119
107
92
64
28
130
116
101
71
29
141
125
111
78
30
151
137
120
86
31
163
147
130
94
32
175
159
140
103
33
187
170
151
112


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Critical Values for Spearman's Rho

To use this table: compare your obtained value of rho to the value in the appropriate column, taking into account how many pairs of scores you have.
e.g. an obtained rho of .75, with 18 pairs of scores, is larger than the critical value of rho at the 0.01 level of significance (0.625). You would conclude that your obtained value of rho is likely to occur by chance less than 1 time in a hundred (i.e. it is highly significant). If your N is not in the table, use the next one down - e.g., for an N of 17, use the table values for 16.
N (the number of pairs of scores):
0.05
0.02
0.01
5
1.000
1.000
 
6
0.886
0.943
1.000
7
0.786
0.893
0.929
8
0.738
0.833
0.881
9
0.683
0.783
0.833
10
0.648
0.746
0.794
12
0.591
0.712
0.777
14
0.544
0.645
0.715
16
0.506
0.601
0.665
18
0.475
0.564
0.625
20
0.45
0.534
0.591
22
0.428
0.508
0.562
24
0.409
0.485
0.537
26
0.392
0.465
0.515
28
0.377
0.448
0.496
30
0.364
0.432
0.478


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Formulae

Mann-Whitney U Test

NA= number of scores in condition one
NB= number of scores in condition two
1. Rank all of the scores in both conditions together, from 1st place to lowest value. Make sure that if there is more than one value that is the same that they all share the mid rank position:
  • eg. values of 4 5 5 6 6 6 6 7 8 9 9 9 10 10 11 12 13 15 18 19
  • would be ranked 1 2.5 2.5 5.5 5.5 5.5 5.5 8 9 11 11 11 13.5 13.5 15 16 17 18 19 20
2. Sigma RA = the total of the ranks for the scores from condition one.
3. Substitute values into formula
4. Look up value of U in table
 
 
 

Wilcoxon's T Test

1. Subtract the values in column 2 from their matched values in column 1 (D=A-B)
2. Rank the differences obtained in step one, lowest difference = 1st place (ignoring whether these are positive or negative - based only on the number and discarding any differences of 0)
3. Add together the ranks for all of the positive differences
4. Add together the ranks for all the negative differences
5. Whichever of these totals is smallest = T
6. Look up the value of T in the table


This isn't a formula as such, but...
T = the sum of the ranks for the negative differences OR the sum of the ranks for the positive differences, depending on which is smaller.
 

Spearman's Rho

N = total of scores
D = difference between the ranks of IV1 and IV2
 
1. Rank the values for IV1
2. Rank the values for IV2
3. Subtract the ranks for IV2 from IV1 (D=RA-RB)
4. Square the differences from step 3
5. Total the values obtained in step 4.
6. Substitute values into formula
7. Look up value of rs in table
 


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