Behavioral scientists are always concerned with variables. Each variable takes on values in a set, which might be numerical, as in real numbers, or symbolic, as in colors, labels, or names. From their perspective, the three most important classes of variables are:
The underlying mathematics for formulating models of how the variables behave and predicting their behavior is probability theory, which was introduced in Section 6.4. Unfortunately, we are faced with an inverse problem, as was noted in Figure 12.3. Most of the behavior is not directly observable, which means that we must gather data and make inferences about the underlying models and try to obtain as much confidence as possible. Thus, resolving the hypothesis is a problem in applied statistics, which is the natural complement or inverse of probability theory.
Steven M LaValle 2016-12-31