Divide the interval from the smallest to the largest measurements into an arbitrary number of subintervals or classes of equal length.
Include the left class boundary point but not the right boundary point in the class.
can give us further information:
-the of measurements that fall in a particular class or group of classes
-the probability that a measurement drawn at random from a set will fall in a particular class or group of classes
Different samples from the same population will produce different histograms.
©1998 Brooks/Cole Publishing/ITP