This    distribution    is  skewed  left because    the tail    is  to  the left.   If  the tail    were    to  the right,  the graph   would
be  described   at  skewed  right   .
There   are four    types   of  graph   we  want    to  look    at  in  order   to  help    us  understand  the shape   of  a
distribution:   dotplot,    stemplot,   histogram,  and boxplot.    We  use the following   31  scores  from    a   50-point
quiz    given   to  a   community   college statistics  class   to  illustrate  the first   three   plots   (we will    look    at  a
boxplot in  a   few pages):
Dotplot
A   dotplot is  a   very    simple  type    of  graph   that    involves    plotting    the data    values, with    dots,   above   the
corresponding   values  on  a   number  line.   A   dotplot of  the scores  on  the statistics  quiz,   drawn   by  a   statistics
computer    package,    looks   like    this:
[Calculator note:   Most    calculators do  not have    a   built-in    function    for drawing dotplots.   There   are
work-arounds    that    will    allow   you to  draw    a   dotplot on  a   calculator, but they    involve more    effort  than    they
are worth.]
Stemplot (Stem and Leaf Plot)
A   stemplot    is  a   bit more    complicated than    a   dotplot.    Each    data    value   has a   stem and    a   leaf    .   There   are no
mathematical    rules   for what    constitutes the stem and    what    constitutes the leaf    .   Rather, the nature  of  the
data    will    suggest reasonable  choices for the stem    and leaves. With    the given   score   data,   we  might   choose
the first   digit   to  be  the stem and    the second  digit   to  be  the leaf    .   So, the number  42  in  a   stem    and leaf    plot
would   show    up  as  4|2.    All the leaves  for a   common  stem    are often   on  the same    line.   Often,  these   are listed
in  increasing  order,  so  the line    with    stem    4   could   be  written as: 4   | 0112236.  The complete    stemplot    of  the
quiz    data    looks   like    this:
