Table 2

Results of multiple comparisons applied to RMS values obtained from each sweep situation (Dunn method)

Slip-resistance level 1

Slip-resistance level 2

Slip-resistance level 3


Comparison

Diff of Ranks

Q

P < 0.05

Diff of Ranks

Q

P < 0.05

Diff of Ranks

Q

P < 0.05


P1200 vs P1000

32.670

1.883

No

119.330

6.878

Yes

54.930

3.166

Yes

P1200 vs P600

26.180

1.509

No

133.310

7.684

Yes

91.220

5.258

Yes

P1200 vs P220

70.440

4.060

Yes

125.270

7.220

Yes

26.810

1.545

No

P1200 vs P180

155.530

8.965

Yes

48.220

2.779

No

45.930

2.647

No

P1000 vs P600

6.490

0.374

No

13.980

0.806

No

56.290

3.092

Yes

P1000 vs P220

37.770

2.177

No

5.940

0.342

No

81.740

4.711

Yes

P1000 vs P180

122.860

7.082

Yes

71.110

4.099

Yes

100.860

5.813

Yes

P600 vs P220

44.260

2.551

No

8.040

0.463

No

118.030

6.803

Yes

P600 vs P180

129.350

7.456

Yes

85.090

4.905

Yes

137.150

7.905

Yes

P220 vs P180

85.090

4.905

Yes

77.050

4.441

Yes

19.120

1.102

No


The test computes statistic Q, the number of rank sums, and shows whether P < 0.05 or not, for the pair that are being compared. P is the probability that the null hypothesis may be rejected and, thus, it helps conclude that there are differences between treatments. Diff of ranks is the difference in the rank sum orders that are being compared. The rank sums are a measurement of the difference between two treatments.

Farfán et al. BMC Neuroscience 2011 12:32   doi:10.1186/1471-2202-12-32

Open Data