-@node Statistics, Utilities, Conditionals and Looping, Top
+@node Statistics
@chapter Statistics
This chapter documents the statistical procedures that PSPP supports so
* REGRESSION:: Linear regression.
@end menu
-@node DESCRIPTIVES, FREQUENCIES, Statistics, Statistics
+@node DESCRIPTIVES
@section DESCRIPTIVES
@vindex DESCRIPTIVES
and D settings request an ascending or descending sort order,
respectively.
-@node FREQUENCIES, EXAMINE, DESCRIPTIVES, Statistics
+@node FREQUENCIES
@section FREQUENCIES
@vindex FREQUENCIES
/BARCHART=@dots{}
/HBAR=@dots{}
/GROUPED=@dots{}
-
-(Integer mode.)
- /VARIABLES=var_list (low,high)@dots{}
@end display
The @cmd{FREQUENCIES} procedure outputs frequency tables for specified
bar charts and output percentiles for grouped data.
The VARIABLES subcommand is the only required subcommand. Specify the
-variables to be analyzed. In most cases, this is all that is required.
-This is known as @dfn{general mode}.
-
-Occasionally, one may want to invoke a special mode called @dfn{integer
-mode}. Normally, in general mode, PSPP will automatically determine
-what values occur in the data. In integer mode, the user specifies the
-range of values that the data assumes. To invoke this mode, specify a
-range of data values in parentheses, separated by a comma. Data values
-inside the range are truncated to the nearest integer, then assigned to
-that value. If values occur outside this range, they are discarded.
+variables to be analyzed.
The FORMAT subcommand controls the output format. It has several
possible settings:
displayed slices to a given range of values. The MISSING keyword adds
slices for missing values.
-@node EXAMINE, CROSSTABS, FREQUENCIES, Statistics
+@node EXAMINE
@comment node-name, next, previous, up
@section EXAMINE
@vindex EXAMINE
large quantity of output.
-@node CROSSTABS, NPAR TESTS, EXAMINE, Statistics
+@node CROSSTABS
@section CROSSTABS
@vindex CROSSTABS
Fixes for any of these deficiencies would be welcomed.
-@node NPAR TESTS, T-TEST, CROSSTABS, Statistics
+@node NPAR TESTS
@section NPAR TESTS
@vindex NPAR TESTS
@end menu
-@node BINOMIAL, CHISQUARE, NPAR TESTS, NPAR TESTS
+@node BINOMIAL
@subsection Binomial test
@vindex BINOMIAL
@cindex binomial test
-@node CHISQUARE, , BINOMIAL, NPAR TESTS
+@node CHISQUARE
@subsection Chisquare test
@vindex CHISQUARE
@cindex chisquare test
are expected.
-@node T-TEST, ONEWAY, NPAR TESTS, Statistics
+@node T-TEST
@comment node-name, next, previous, up
@section T-TEST
* Paired Samples Mode:: Testing two interdependent groups for equal mean
@end menu
-@node One Sample Mode, Independent Samples Mode, T-TEST, T-TEST
+@node One Sample Mode
@subsection One Sample Mode
The @cmd{TESTVAL} subcommand invokes the One Sample mode.
In this mode, you must also use the @cmd{/VARIABLES} subcommand to
tell PSPP which variables you wish to test.
-@node Independent Samples Mode, Paired Samples Mode, One Sample Mode, T-TEST
+@node Independent Samples Mode
@comment node-name, next, previous, up
@subsection Independent Samples Mode
If the independent variable is numeric,
it is acceptable to specify only one value inside the parentheses.
If you do this, cases where the independent variable is
-less than or equal to this value belong to the first group, and cases
-greater than this value belong to the second group.
+greater than or equal to this value belong to the first group, and cases
+less than this value belong to the second group.
When using this form of the @cmd{GROUPS} subcommand, missing values in
the independent variable are excluded on a listwise basis, regardless
of whether @cmd{/MISSING=LISTWISE} was specified.
-@node Paired Samples Mode, , Independent Samples Mode, T-TEST
+@node Paired Samples Mode
@comment node-name, next, previous, up
@subsection Paired Samples Mode
@code{WITH} are generated.
-@node ONEWAY, RANK, T-TEST, Statistics
+@node ONEWAY
@comment node-name, next, previous, up
@section ONEWAY
ONEWAY
[/VARIABLES = ] var_list BY var
/MISSING=@{ANALYSIS,LISTWISE@} @{EXCLUDE,INCLUDE@}
- /CONTRASTS= value1 [, value2] ... [,valueN]
+ /CONTRAST= value1 [, value2] ... [,valueN]
/STATISTICS=@{DESCRIPTIVES,HOMOGENEITY@}
@end display
variables and their groups.
@end itemize
-The @code{CONTRASTS} subcommand is used when you anticipate certain
+The @code{CONTRAST} subcommand is used when you anticipate certain
differences between the groups.
The subcommand must be followed by a list of numerals which are the
coefficients of the groups to be tested.
groups (or values of the independent variable).
If the total sum of the coefficients are not zero, then PSPP will
display a warning, but will proceed with the analysis.
-The @code{CONTRASTS} subcommand may be given up to 10 times in order
+The @code{CONTRAST} subcommand may be given up to 10 times in order
to specify different contrast tests.
@setfilename ignored
-@node RANK, REGRESSION, ONEWAY, Statistics
+@node RANK
@comment node-name, next, previous, up
@section RANK
projects / pspp-builds.git / blobdiff