Final answer:
In a box plot, an expected observation or data point is typically found inside the max or min value represented by the box plot's whiskers or the box itself, not outside them.
Step-by-step explanation:
An observation, or data point that is expected on a box plot will typically appear inside the maximum or minimum value within the expected range. When evaluating a box plot, it is important to understand that it represents a visual summary of data, indicating the median, quartiles, and the minimum and maximum values (excluding outliers) of a data set. Data points typically fall within the whiskers or the box itself, which together represent the spread of the majority of the data. By definition, any data point outside the whiskers might be considered an outlier and not an expected typical observation within the dataset visualized by the box plot.
To construct a box plot, one must first calculate five summary statistics: the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum values. The box plot displays these statistics and shows how data is distributed, with the 'box' containing the middle 50 percent of the data and the 'whiskers' extending to show the full range, excluding outliers.