Final answer:
The target that represents a data set that is accurate but not precise is dispersed points.
Step-by-step explanation:
The target that represents a data set that is accurate but not precise is option B) Dispersed points.
Precision refers to the consistency or reproducibility of measurements. Accuracy refers to how close the measurements are to the true value.
In the case of dispersed points, the measurements are not clustered closely together, indicating low precision. However, if the measurements are centered around the true value, they can still be accurate. This means that the measurements may vary, but they are still close to the actual value.