Final answer:
It is true that searching for a target that lacks a feature is difficult compared to identifying one with an additional unique feature. Precision and accuracy in measurements have distinct meanings: precise but inaccurate measurements are consistent yet far from the true value, while accurate measurements are close to the true value. In wildlife studies, learned avoidance behavior can result in underestimations of population sizes.
Step-by-step explanation:
It is true that search is difficult when the difference between the target and non-targets is that the target is missing a feature. This concept applies to various types of search tasks across different fields. For instance, in a biological study of species, identifying a specific animal that lacks a usual characteristic can be more challenging than distinguishing one with a unique additional feature.
For the questions provided referencing measurement accuracy and precision, they can be defined as follows:
- a. A precise, but inaccurate set of measurements refers to a situation where repeated measurements are very close to one another but are far from the actual value.
- b. A set of measurements that is both precise and accurate indicates that the measurements are close to each other and also close to the actual value.
- c. A set of measurements that is neither precise nor accurate means that the measurements are spread out and not close to the actual value.
Furthermore, regarding wildlife studies, as indicated in point d, an underestimate of population size would be a consequence of studies where animals learn to avoid traps or areas where research is being conducted.