A box plot represents a numerical distribution with a scale and five-number summary: minimum, lower quartile, median, upper quartile, and maximum, with the interquartile range (IQR) showing the spread of the middle half of the data. Constructing one requires ordering data and locating quartiles consistently; interpreting one involves comparing center, variability, skewness, and possible outliers, while recognizing that a box plot does not display individual data values or determine the mean.
Detailed Explanation: Construct and interpret box plots
To construct a box plot, first find the five-number summary:
Minimum
Lower quartile, Q1​
Median
Upper quartile, Q3​
Maximum
The box represents the middle 50% of the data, from Q1​ to Q3​. The line inside the box is the median, and the whiskers extend to the minimum and maximum.
Example
Construct and interpret a box plot for this data set: