In either of the two sets of trials, did your constant error score indicate a performance bias? If so, explain the direction of the performance bias and what this tells you about your performance in the two sets of trials (i.e., which type of cue was best in terms of CE). If there was no performance bias, explain why this did not occur.

Block 2: Self-Generated Start Cue Trial Trial time (ms) Target (ms) T - Target (T - Target) ( T - X ) 2130 2000 130 130 17424 2250 2000 250 250 63504 2140 2000 140 140 20164 2300 2000 300 300 91204 1600 2000 400 -400 158404 1280 2000 720 -720 51524 2150 2000 150 150 23 104 1890 2000 110 -110 11664 9 1810 2000 190 -190 35344 10 2430 2000 430 430 186624 SUM ( ) ) - 19980 SUM ( )) = 2820 -20 658960 N= 10 Absolute Error = 282 X = 1998 Constant Error = -2 Variable Error 256.70 RMSE = 335.11Lab Activity In this lab, you'll examine the performance outcome of estimating a 2000 ms (2 second) time interval in two separate conditions: 1) by reacting to an externally generated start cue and 2) by reacting to a self-generated start cue. You will perform 10 trials of each condition. The experiment will be performed using the "Error Calculation" lab from the "MotorLab" program (https://motorlab.ca/). At the end of the trials, your reaction time will be reported in a data file in milliseconds (1/1000th of a second) as well as an average reaction time at the bottom of the set of data. Four main outcome measures (AE, CE, VE and RMSE) will be examined and used to evaluate the performance outcome of the task.Block 1: External Start Cue Trial Trial time (ms) Target (ms) T - Target (T - Target) ( T - X ) 2 1850 2000 150 -150 40401 2 1640 2000 360 -360 168921 2130 2000 130 130 6241 2190 2000 190 190 19321 2130 2000 130 130 6241 2100 2000 100 100 2401 1680 2000 320 -320 137641 2550 2000 550 650 249001 1880 2000 120 120 29241 10 2360 2000 360 360 95481 SUM ( ) ) = 20510 SUM ( ) ) = 2410 510 754890 10 Absolute Error = 241 X = 2051 Constant Error 51 Variable Error = 274.75 RMSE - 279.43