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Mann Whitney U test:
By: Dr. Ankit Gaur (B.Pharm, M.Sc, Pharm.D, RPh)
Use when:
β€’ Data does not support means (ordinal)
β€’ Data is not normally distributed.
Nonparametric tests:
Tests without population parameters
(means and standard deviations)
1) Rank all data.
2) Evaluate if ranks tend to
cluster within a group.
Mann Whitney U test:
nonparametric equivalent of a t test
for two independent samples
Mann Whitney U test:
Where: n1
n2
( )( )
( )
( )( )
( )
U n n
n n
R
U n n
n n
R
1 1 2
1 1
1
2 1 2
2 2
2
1
2
1
2
= +
+
βˆ’
= +
+
βˆ’
βˆ‘
βˆ‘
Size of sample one
Size of sample two
Mann Whitney U test:
Where:
( )( )
( )
( )( )
( )
U n n
n n
R
U n n
n n
R
1 1 2
1 1
1
2 1 2
2 2
2
1
2
1
2
= +
+
βˆ’
= +
+
βˆ’
βˆ‘
βˆ‘
R1βˆ‘ Sum of sample one ranks
R2βˆ‘ Sum of sample two ranks
Evaluation of Mann Whitney U
1) Choose the smaller of the two U values.
2) Find the critical value (Mann Whitney table)
3) When computed value is smaller than the
critical value the outcome is significant!
group 1 group 2
24 28
18 42
45 63
57 57
12 90
30 68
group 1 group 2
24 28
18 2 42
45 63
57 57
12 1 90
30 68
Step One: Rank all data across groups
group 1 group 2
24 3 28 4
18 2 42
45 63
57 57
12 1 90
30 68
group 1 group 2
24 3 28 4
18 2 42 6
45 7 63
57 57
12 1 90
30 5 68
Tied ranks:
β€’ Find all values that are tied.
β€’ Identify all ranks that would be
assigned to those values.
β€’ Average those ranks.
β€’ Assign that average to all tied values.
group 1 group 2
24 3 28 4
18 2 42 6
45 7 63
57 57
12 1 90
30 5 68
8th and 9th ranks would be used.
8+9 = 17 Averaging
17/ 2 = 8.5 ranks
group 1 group 2
24 3 28 4
18 2 42 6
45 7 63
57 8.5 57 8.5
12 1 90
30 5 68
group 1 group 2
24 3 28 4
18 2 42 6
45 7 63 10
57 8.5 57 8.5
12 1 90 12
30 5 68 11
group 1 group 2
24 3 28 4
18 2 42 6
45 7 63 10
57 8.5 57 8.5
12 1 90 12
30 5 68 11
26.5 51.5
Step Two: Sum the ranks for each group
( )
R
n n
=
+
βˆ‘
1
2
Check the rankings:
( )( )
R
R
R
=
=
=
βˆ‘
βˆ‘
βˆ‘
12 13
2
156
2
78
group 1 group 2
24 3 28 4
18 2 42 6
45 7 63 10
57 8.5 57 8.5
12 1 90 12
30 5 68 11
26.5 51.5
26.5 + 51.5 = 78
( )( )
( )U n n
n n
R1 1 2
1 1
1
1
2
= +
+
βˆ’ βˆ‘
Step Three: Compute U1
( )( )
( )
( )( )
( )
U n n
n n
R
U
U
U
1 1 2
1 1
1
1
1
1
1
2
6 6
6 7
2
265
36 21 265
305
= +
+
βˆ’
= + βˆ’
= + βˆ’
=
βˆ‘
.
.
.
( )( )
( )U n n
n n
R2 1 2
2 2
2
1
2
= +
+
βˆ’ βˆ‘
Step Four: Compute U2
( )( )
( )
( )( )
( )
U n n
n n
R
U
U
U
2 1 2
2 2
2
2
2
2
1
2
6 6
6 7
2
515
36 21 515
55
= +
+
βˆ’
= + βˆ’
= + βˆ’
=
βˆ‘
.
.
.
U
U
U
1
2
305
55
55 305
55
=
=
<
=
.
.
. .
.
Step Five: Compare U1 to U2
Critical Value = 5
This is a nonsignificant outcome
group 1 group 2
24 3 28 4
18 2 42 6
45 7 63 10
57 8.5 57 8.5
12 1 90 12
30 5 68 11
Thank you… β€œBelieve in yourself
those who do not believe in
themselves cannot achieve
anything in their lives.

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Mann Whitney U test

  • 1. Mann Whitney U test: By: Dr. Ankit Gaur (B.Pharm, M.Sc, Pharm.D, RPh)
  • 2. Use when: β€’ Data does not support means (ordinal) β€’ Data is not normally distributed. Nonparametric tests: Tests without population parameters (means and standard deviations)
  • 3. 1) Rank all data. 2) Evaluate if ranks tend to cluster within a group.
  • 4. Mann Whitney U test: nonparametric equivalent of a t test for two independent samples
  • 5. Mann Whitney U test: Where: n1 n2 ( )( ) ( ) ( )( ) ( ) U n n n n R U n n n n R 1 1 2 1 1 1 2 1 2 2 2 2 1 2 1 2 = + + βˆ’ = + + βˆ’ βˆ‘ βˆ‘ Size of sample one Size of sample two
  • 6. Mann Whitney U test: Where: ( )( ) ( ) ( )( ) ( ) U n n n n R U n n n n R 1 1 2 1 1 1 2 1 2 2 2 2 1 2 1 2 = + + βˆ’ = + + βˆ’ βˆ‘ βˆ‘ R1βˆ‘ Sum of sample one ranks R2βˆ‘ Sum of sample two ranks
  • 7. Evaluation of Mann Whitney U 1) Choose the smaller of the two U values. 2) Find the critical value (Mann Whitney table) 3) When computed value is smaller than the critical value the outcome is significant!
  • 8. group 1 group 2 24 28 18 42 45 63 57 57 12 90 30 68
  • 9. group 1 group 2 24 28 18 2 42 45 63 57 57 12 1 90 30 68 Step One: Rank all data across groups
  • 10. group 1 group 2 24 3 28 4 18 2 42 45 63 57 57 12 1 90 30 68
  • 11. group 1 group 2 24 3 28 4 18 2 42 6 45 7 63 57 57 12 1 90 30 5 68
  • 12. Tied ranks: β€’ Find all values that are tied. β€’ Identify all ranks that would be assigned to those values. β€’ Average those ranks. β€’ Assign that average to all tied values.
  • 13. group 1 group 2 24 3 28 4 18 2 42 6 45 7 63 57 57 12 1 90 30 5 68
  • 14. 8th and 9th ranks would be used. 8+9 = 17 Averaging 17/ 2 = 8.5 ranks
  • 15. group 1 group 2 24 3 28 4 18 2 42 6 45 7 63 57 8.5 57 8.5 12 1 90 30 5 68
  • 16. group 1 group 2 24 3 28 4 18 2 42 6 45 7 63 10 57 8.5 57 8.5 12 1 90 12 30 5 68 11
  • 17. group 1 group 2 24 3 28 4 18 2 42 6 45 7 63 10 57 8.5 57 8.5 12 1 90 12 30 5 68 11 26.5 51.5 Step Two: Sum the ranks for each group
  • 20. group 1 group 2 24 3 28 4 18 2 42 6 45 7 63 10 57 8.5 57 8.5 12 1 90 12 30 5 68 11 26.5 51.5
  • 21. 26.5 + 51.5 = 78
  • 22. ( )( ) ( )U n n n n R1 1 2 1 1 1 1 2 = + + βˆ’ βˆ‘ Step Three: Compute U1
  • 23. ( )( ) ( ) ( )( ) ( ) U n n n n R U U U 1 1 2 1 1 1 1 1 1 1 2 6 6 6 7 2 265 36 21 265 305 = + + βˆ’ = + βˆ’ = + βˆ’ = βˆ‘ . . .
  • 24. ( )( ) ( )U n n n n R2 1 2 2 2 2 1 2 = + + βˆ’ βˆ‘ Step Four: Compute U2
  • 25. ( )( ) ( ) ( )( ) ( ) U n n n n R U U U 2 1 2 2 2 2 2 2 2 1 2 6 6 6 7 2 515 36 21 515 55 = + + βˆ’ = + βˆ’ = + βˆ’ = βˆ‘ . . .
  • 27. Critical Value = 5 This is a nonsignificant outcome
  • 28. group 1 group 2 24 3 28 4 18 2 42 6 45 7 63 10 57 8.5 57 8.5 12 1 90 12 30 5 68 11
  • 29. Thank you… β€œBelieve in yourself those who do not believe in themselves cannot achieve anything in their lives.