Does this make sense "If we have data from several factors (X1, X2, X3, etc.) from other companies' drones, each factor must compare its mean and variation with those of Prototype 1. Prototypes 1 baseline was a mean flight time of 2.3187 seconds and variation of 1.9570045 seconds. With the fishbone diagram we determined factors that would influence flight times, such as: 1. Air Pressure: If the mean air pressure for other drones is significantly different from that of Prototype 1, and this difference corresponds with a significant difference in flight time, it can be concluded that air pressure has a substantial influence on flight time. The variation in air pressure can also affect the consistency of flight times. a. Hypothetically, if Drone A has an air pressure of 101 kPa, mean of 2.5 seconds, and variation f 2.1 seconds, both would be higher than prototype 1, implying that a higher air pressure causes longer flight times. Whereas Drone B with an air pressure pf 98 kPa, mean of 2.1 seconds, and variation of 18 seconds would be lower than prototype 1, indicating lower pressure causes shorter flight times. 2. Incorrect Reading Record: If other drones have a high variation in flight times and it is known that they have issues with incorrect reading records, it can be inferred that this factor significantly influences flight time. a. We know that incorrect readings cause more variability, whereas accuracy is consistent