This lab was designed to determine whether or not the test tracks vary. When implementing this, the code was set to a constant time and energy, so the only independent variable was distance. A ANOVA test was done on the data. It yielded a p-value much higher the 0.05, meaning the tracks show no significant evidence to prove there is a difference between them.
Figure: ANOVA Test
| Track 1 | Track 2 | Track 3 | Track 4 | |
| Marks 1 | 265 | 323 | 311 | 356 |
| Marks 2 | 329 | 317 | 345 | 345 |
Figure: Table Readings
Because the variation among tracks is negligible, there are no actions needed to be taken to ensure consistency. When the final code is written, it will not be based on exact distance or marks, but rather a consistent amount of power. Further trials may or may not confirm if the slight variance among trials is something to note.
It took a while to find a code that allowed the AEV to stop in the designated area, which took time away from the test runs, so only 2 test runs were accomplished for each track. The reason it took so long to create a code was because once power is cut from the AEV, the AEV coasts for an extended period of time. To create a better system for breaking the team reduced power on both motors, and added code that told the AEV to reverse in hopes that that command would aid in the AEV slowing down. Only two trials per track may have resulted in poor statistics.