ministat — statistics utility

       The ministat command calculates fundamental statistical properties of numeric data in the specified files
       or, if no file is specified, standard input.

       The options are as follows:

       -A          Just  report  the  statistics  of  the input and relative comparisons, suppress the ASCII-art
                   plot.

       -n          Just report the raw statistics of the input, suppress the ASCII-art  plot  and  the  relative
                   comparisons.

       -s          Print  the  average/median/stddev  bars  on  separate  lines  in the ASCII-art plot, to avoid
                   overlap.

       -Ccolumn   Specify which column of data to use.  By default the first column in the  input  file(s)  are
                   used.

       -cconfidence_level
                   Specify  desired  confidence level for Student's T analysis.  Possible values are 80, 90, 95,
                   98, 99 and 99.5 %

       -ddelimiter
                   Specifies the column delimiter characters, default is  SPACE  and  TAB.   See  strtok(3)  for
                   details.

       -wwidth    Width  of ASCII-art plot in characters.  The default is the terminal width, or 74 if standard
                   output is not a terminal.

       A sample output could look like this:

               $ ministat -s -w 60 iguana chameleon
               x iguana
               + chameleon
               +------------------------------------------------------------+
               |x      *  x            *      +              + x           +|
               | |________M______A_______________|                          |
               |             |________________M__A___________________|      |
               +------------------------------------------------------------+
                   N        Min        Max     Median        Avg       Stddev
               x   7         50        750        200        300    238.04761
               +   5        150        930        500        540    299.08193
               No difference proven at 95.0% confidence

       If ministat tells you, as in the example above, that there is no difference proven at 95% confidence, the
       two data sets you gave it are for all statistical purposes identical.

       You have the option of lowering your standards by specifying a lower confidence level:

               $ ministat -s -w 60 -c 80 iguana chameleon
               x iguana
               + chameleon
               +------------------------------------------------------------+
               |x      *  x            *      +              + x           +|
               | |________M______A_______________|                          |
               |             |________________M__A___________________|      |
               +------------------------------------------------------------+
                   N        Min        Max     Median        Avg       Stddev
               x   7         50        750        200        300    238.04761
               +   5        150        930        500        540    299.08193
               Difference at 80.0% confidence
                     240 +/- 212.215
                     80% +/- 70.7384%
                     (Student's t, pooled s = 264.159)

       But a lower standard does not make your data any better, and the example is only included  here  to  show
       the format of the output when a statistical difference is proven according to Student's T method.

       The ministat command was written by Poul-Henning Kamp out of frustration over  all  the  bogus  benchmark
       claims made by people with no understanding of the importance of uncertainty and statistics.

       From  FreeBSD 5.2 it has lived in the source tree as a developer tool, graduating to the installed system
       from FreeBSD 8.0.

Debian                                          November 10, 2012                                    MINISTAT(1)

       ministat — statistics utility

       Any  mathematics  text  on  basic  statistics,  for  instances  Larry Gonicks excellent "Cartoon Guide to
       Statistics" which supplied the above example.

ministat [-Ans] [-Ccolumn] [-cconfidence_level] [-ddelimiter] [-w [width]] [file...]