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ministat: Clean up usage message, manual page, and chameleon
In the manual page: - Fix synopsis and use better argument names - Improve description of flags. - In EXAMPLES, list the contents of iguana and chameleon files. - Use Rs to reference The Cartoon Guide to Statistics - Fix misc indentation and style issues - Tag SPDX MFC after: 1 week Reviewed by: bcr, ziaee Differential Revision: https://reviews.freebsd.org/D53710
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3 changed files with 98 additions and 52 deletions
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@ -1,6 +1,7 @@
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.\"
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.\" Copyright (c) 2007 Poul-Henning Kamp
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.\" All rights reserved.
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.\" Copyright (c) 2007 Poul-Henning Kamp. All rights reserved.
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.\"
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.\" SPDX-License-Identifier: BSD-2-Clause
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.\"
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.\" Redistribution and use in source and binary forms, with or without
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.\" modification, are permitted provided that the following conditions
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@ -23,7 +24,7 @@
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.\" OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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.\" SUCH DAMAGE.
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.\"
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.Dd November 10, 2012
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.Dd November 13, 2025
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.Dt MINISTAT 1
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.Os
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.Sh NAME
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@ -33,9 +34,9 @@
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.Nm
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.Op Fl Anqs
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.Op Fl C Ar column
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.Op Fl c Ar confidence_level
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.Op Fl d Ar delimiter
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.Op Fl w Op width
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.Op Fl c Ar confidence
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.Op Fl d Ar delimiters
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.Op Fl w Ar width
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.Op Ar
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.Sh DESCRIPTION
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The
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@ -44,10 +45,26 @@ command calculates fundamental statistical properties of numeric data
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in the specified files or, if no file is specified, standard input.
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.Pp
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The options are as follows:
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.Bl -tag -width Fl
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.Bl -tag -width "-c confidence"
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.It Fl A
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Just report the statistics of the input and relative comparisons,
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suppress the ASCII-art plot.
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.It Fl C Ar column
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Specify which column of data to use.
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By default the first column in the input file(s) is used.
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.It Fl c Ar confidence
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Specify desired confidence level for Student's T analysis.
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Possible percent values are
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.Cm 80 , 90 , 95 , 98 , 99 ,
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and
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.Cm 99.5 .
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.It Fl d Ar delimiters
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Specify the column delimiter characters, default is
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.Ql \ \et
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.Pq i.e., a space and a tab .
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See
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.Xr strtok 3
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for details.
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.It Fl n
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Just report the raw statistics of the input, suppress the ASCII-art plot
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and the relative comparisons.
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@ -58,75 +75,104 @@ alongside
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.It Fl s
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Print the average/median/stddev bars on separate lines in the ASCII-art
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plot, to avoid overlap.
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.It Fl C Ar column
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Specify which column of data to use.
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By default the first column in the input file(s) are used.
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.It Fl c Ar confidence_level
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Specify desired confidence level for Student's T analysis.
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Possible values are 80, 90, 95, 98, 99 and 99.5 %
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.It Fl d Ar delimiter
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Specifies the column delimiter characters, default is SPACE and TAB.
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See
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.Xr strtok 3
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for details.
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.It Fl w Ar width
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Width of ASCII-art plot in characters.
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Set the width of the ASCII-art plot in characters.
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The default is the terminal width, or 74 if standard output is not a
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terminal.
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.El
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.Pp
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.Nm
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accepts up to seven input files.
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.Pp
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Each dataset must contain at least three values.
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.Sh EXIT STATUS
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.Ex -std
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.Sh EXAMPLES
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Let's consider two input files.
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The first one will be
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.Dq iguana :
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.Bd -literal -offset indent
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50
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200
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150
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400
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750
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400
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150
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.Ed
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.Pp
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The second one will be
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.Dq chameleon :
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.Bd -literal -offset indent
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150
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400
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720
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500
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930
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.Ed
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.Pp
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A sample output could look like this:
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.Bd -literal -offset indent
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$ ministat -s -w 60 iguana chameleon
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x iguana
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+ chameleon
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+------------------------------------------------------------+
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|x * x * + + x +|
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| |________M______A_______________| |
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| |________________M__A___________________| |
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+------------------------------------------------------------+
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N Min Max Median Avg Stddev
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x 7 50 750 200 300 238.04761
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+ 5 150 930 500 540 299.08193
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No difference proven at 95.0% confidence
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$ ministat -s -w 60 iguana chameleon
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x iguana
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+ chameleon
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+------------------------------------------------------------+
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|x * x * + + x +|
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| |________M______A_______________| |
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| |________________M__A___________________| |
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+------------------------------------------------------------+
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N Min Max Median Avg Stddev
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x 7 50 750 200 300 238.04761
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+ 5 150 930 500 540 299.08193
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No difference proven at 95.0% confidence
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.Ed
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.Pp
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If
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.Nm
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tells you, as in the example above, that there is no difference
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proven at 95% confidence, the two data sets you gave it are for
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proven at 95% confidence, the two datasets you gave it are for
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all statistical purposes identical.
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.Pp
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You have the option of lowering your standards by specifying a
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lower confidence level:
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.Bd -literal -offset indent
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$ ministat -s -w 60 -c 80 iguana chameleon
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x iguana
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+ chameleon
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+------------------------------------------------------------+
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|x * x * + + x +|
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| |________M______A_______________| |
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| |________________M__A___________________| |
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+------------------------------------------------------------+
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N Min Max Median Avg Stddev
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x 7 50 750 200 300 238.04761
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+ 5 150 930 500 540 299.08193
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Difference at 80.0% confidence
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240 +/- 212.215
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80% +/- 70.7384%
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(Student's t, pooled s = 264.159)
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$ ministat -s -w 60 -c 80 iguana chameleon
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x iguana
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+ chameleon
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+------------------------------------------------------------+
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|x * x * + + x +|
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| |________M______A_______________| |
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| |________________M__A___________________| |
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+------------------------------------------------------------+
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N Min Max Median Avg Stddev
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x 7 50 750 200 300 238.04761
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+ 5 150 930 500 540 299.08193
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Difference at 80.0% confidence
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240 +/- 212.215
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80% +/- 70.7384%
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(Student's t, pooled s = 264.159)
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.Ed
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.Pp
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But a lower standard does not make your data any better, and the
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example is only included here to show the format of the output when
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a statistical difference is proven according to Student's T method.
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.Sh SEE ALSO
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Any mathematics text on basic statistics, for instances Larry Gonicks
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excellent "Cartoon Guide to Statistics" which supplied the above example.
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Any mathematics text on basic statistics, for instance the following book,
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which supplied the above example:
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.Rs
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.%A Larry Gonick
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.%A Woollcott Smith
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.%B The Cartoon Guide to Statistics
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.%D 1993
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.%I HarperPerennial
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.%O ISBN 0-06-273102-5
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.Re
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.Sh HISTORY
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The
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.Nm
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command was written by Poul-Henning Kamp out of frustration
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command was written by
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.An Poul-Henning Kamp
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out of frustration
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over all the bogus benchmark claims made by people with no
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understanding of the importance of uncertainty and statistics.
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.Pp
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@ -530,7 +530,7 @@ usage(char const *whine)
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fprintf(stderr, "%s\n", whine);
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fprintf(stderr,
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"Usage: ministat [-C column] [-c confidence] [-d delimiter(s)] [-Anqs] [-w width] [file [file ...]]\n");
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"Usage: ministat [-Anqs] [-C column] [-c confidence] [-d delimiter(s)] [-w width] [file ...]]\n");
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fprintf(stderr, "\tconfidence = {");
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for (i = 0; i < NCONF; i++) {
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fprintf(stderr, "%s%g%%",
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