Final answer:
Choosing a heuristic depends on the context; it is not about taking an average or median, but about selecting the most effective heuristic for the situation or the most appropriate measure of central tendency when dealing with a data set.
Step-by-step explanation:
When choosing which heuristic to apply from several different ones giving different values, the preferred approach is often to select based on the context and goals of the decision-making process.
If the question pertains to a situation in artificial intelligence, decision-making, or a problem-solving scenario where heuristics are being used, it's not simply a matter of calculating an average or median of the heuristic values. Instead, one typically chooses a heuristic based on its effectiveness and efficiency for that particular context.
For example, when dealing with pathfinding in AI, one might select the heuristic that provides the most optimum balance between speed and accuracy of the solution. However, if the question is specifically about statistical measures of central tendency and outliers, then options such as the mean, median, and mode would be considered based on the distribution of data values in a dataset.