ministat is now much more capable. It's grown decent documentation, a number of useful options, and can now generate plots in color.
Here are a couple of examples:
And here's what the plain text output looks like:
x d1
+ d2
* d3
: = Mean
M = Median
+-------------------------------------------------------------------------+
| * * |
| * * |
|x x x x x * * * + + + + + |
|x x x x x * * * * + + + + + +|
| |_____M:_______| |_M_:___| |_____M_:______| |
+--------------------------------------------------------------------------+
N Min Max Median Mean Stddev
x 11 1 6 3 3.2727273 1.6787441
+ 11 12 17 14 14.272727 1.6787441
Difference at 95.0% confidence
11 +/- 1.4932
336.111% +/- 45.6255%
(Student's t, pooled s = 1.67874)
* 11 6 9 7 7.3636364 0.92441628
Difference at 95.0% confidence
4.09091 +/- 1.20535
125% +/- 36.8301%
(Student's t, pooled s = 1.35512)
Get the ministat source code and play around.