Table 4.

Difference between predicted and observed moments in RTs (mean, variance, skewness, and kurtosis) for the RP Model and the PN Model.

Condition	Mean	Variance	Skewness	Kurtosis
RP MODEL (GAUSSIAN NOISE)
Baseline	−0.164	−0.543	−0.012	0.282
Filtering 1	−1.884	−16.056	−0.176	−0.253
Filtering 2	−1.536	−14.241	0.121	0.847
Filtering 3	−5.960	−7.300	−0.003	0.214
PN MODEL (GAUSSIAN NOISE)
Baseline	0.001	−2.038	−0.109	0.051
Filtering 1	−31.380	−33.911	−0.089	0.302
Filtering 2	−31.083	−35.336	0.149	0.788
Filtering 3	−26.222	1.102	0.896	7.116