Descriptive statistics  Dr. C. George Boeree  Descriptive
statistics are ways of summarizing large sets of quantitative
(numerical) information.  If you have a large number of
measurements, the best thing you can do is to make a graph with
all the possible scores along the bottom (x axis), and the
number of times you came across that score recorded vertically
(y axis) in the form of a bar.  But such a graph is just plain
hard to do statistical analyses with, so we have other, more
numerical ways of summarizing the data.  Here is a small set of
data:  The grades for 15 students.  For our purposes, they range
from 0 (failing) to 4 (an A), and go up in steps of .2.  John --
3.0 Mary -- 2.8 George -- 2.8 Beth -- 2.4 Sam -- 3.2 Judy -- 2.8
Fritz -- 1.8 Kate -- 3.8 Dave -- 2.6 Jenny -- 3.4 Mike -- 2.4
Sue -- 4.0 Don -- 3.4 Ellen -- 3.2 Orville -- 2.2  Here is the
information in bar graph form:  Central tendency  Central
tendency refers to the idea that there is one number that best
summarizes the entire set of meas