Table 2. Time to complete selected tasks. Data are represented as mean ± standard deviation.
Task | Event 1 (min) | Event 2 (min) | Event 3 (min) | Event 4 (min) | p -Value |
---|---|---|---|---|---|
Import data a | 0.72 ± 0.40 | 0.27 ± 0.18 | 0.20 ± 0.09 | 0.31 ± 0.20 | <0.01 |
Inspect the data a | 0.66 ± 0.41 | 0.32 ± 0.21 | 0.24 ± 0.15 | 0.19 ± 0.10 | <0.01 |
Perform curve fitting a | 0.34 ± 0.28 | 0.06 ± 0.04 | 0.05 ± 0.02 | 0.07 ± 0.09 | <0.01 |
Evaluate the goodness of fit b | 0.50 ± 0.33 | 0.17 ± 0.10 | 0.18 ± 0.16 | <0.01 | |
Identify the model that was fit b | 0.43 ± 0.53 | 0.09 ± 0.22 | 0.03 ± 0.01 | <0.01 | |
Simulate a new dose for specified therapeutic targets b | 0.86 ± 0.26 | 0.45 ± 0.20 | 0.34 ± 0.12 | <0.01 | |
Identify the new dose | 0.17 ± 0.34 | 0.22 ± 0.17 | 0.20 ± 0.11 | 0.694 | |
Modify the simulation to adjust the dose | 0.85 ± 0.51 | 0.33 ± 0.14 | <0.01 | ||
Examine the therapeutic targets with the modified dose | 0.36 ± 0.23 | 0.25 ± 0.13 | 0.025 | ||
Finalize the report c | 1.22 ± 0.56 | 0.98 ± 0.46 | 0.30 ± 0.18 | <0.01 |
Events 2, 3, and 4 significantly faster than event 1.
Event 2 and 3 significantly faster than event 1.
Event 3 significantly faster than events 1 and 2.