Results You Can Trust, a Price You Can Afford
Systat Software proudly introduces SYSTAT 13, the latest advancement in
desktop statistical computing.
SYSTAT is a versatile and comprehensive statistical software package. It
employs a staggering range of powerful techniques to help conduct many types of
research.
Novice statistical users can use SYSTAT’s menudriven interface to conduct
simple analyses and produce beautiful 2D and 3D graphics for presentations or
reports.
Those in need of advanced analysis can use SYSTAT’s more sophisticated
statistical routines, and create plots and charts that are instantly ready for
publication. SYSTAT’s menu and command interfaces are interlinked, allowing
users the option of whichever method works best for them.
SYSTAT 13 is quicker, sturdier and more robust than any of its predecessors.
Newly improved data handling functionality allows the software to process larger
data sets, at speeds faster than ever before...and SYSTAT 13 is fully
compatible with Windows 10 operating system!
SYSTAT 13 Offers All the Statistical Computing Power That Researchers
Need
Not only does SYSTAT offer common procedures like Linear Regression,
Analysis of Variance and Nonparametric Tests, but you will also
find advanced methods like Mixed Model Analysis, Advanced
Regression (e.g. Robust, Nonlinear, Partial Least Squares, etc.) and
Response Surface Methods, all of which are available in SYSTAT’s base
package.
SYSTAT 13 introduces the following new statistical methods:
 ARCH & GARCH Models in Time Series
 Best Subsets Regression
 Confirmatory Factor Analysis
 Environment Variables in Best Statistics
 Polynomial Regression
 Enhancements to existing methods such as ANOVA, Bootstrapping,
Crosstabulation, Fitting Distributions, Hypothesis Testing and more!
SYSTAT Makes Your Work Smooth and Easy
Few things are as aggravating as having your research software’s license
expire just before you finish your work. SYSTAT standalone and network products
are available with perpetual licenses. That means no hidden timebombs,
nothing to get between you and your work!
That’s not the only way SYSTAT makes your job easier. You can customize
almost any aspect of the software, from the menu and toolbar configuration
to the default appearance and style of your output. Creating custom command
files lets you run analyses and produce graphs on different data sets
instantly.
Also, SYSTAT 13 has been engineered to handle even larger datasets than
before. SYSTAT 13 computes statistical methods up to 10 times faster than older
versions on most problems.
Here are some more features we added with SYSTAT 13 to make your life
easier:
 A New, Flickerfree Data Editor with Easy Navigation Tools and
Draganddrop Entry
 Autocomplete and Token Dialog Functionality
 New Graphics Control Features That Allow More Detailed Control Over
Appearance
 SYSTAT’s Comprehensive Help Files
 A New Tabbed Worspace Layout Allowing Easier Navigation
 and so much more!
Trying to test with small samples? SYSTAT Exact Tests is for you.
Researchers in social, behavioral and biological fields often find themselves
trying to squeeze a significant test result out of a small sample size. Using
standard statistical tests based upon asymptotic methods on small data sets can
create misleading results.
SYSTAT has partnered with Cytel – a 20year leader in the design and analysis
of clinical trials – to bring you a new package of testing functionality:
SYSTAT Exact Tests.
Consumers now have more options to suit their needs: purchase SYSTAT 13 on
its own, and receive the comprehensiveness and support you’ve come to rely on,
or purchase our new product, SYSTAT 13 with Exact Tests, and add Cytel’s
unique exactinference capability to an alreadypowerful statistics package.
New Features in version 13.2 




SYSTAT 13.2 Release Notes
New License System supports on both 32 and 64 bit versions on Windows 7, Windows 8 and Windows 10 OS.
SYSTAT 13.2 now provides full support for the following file formats:
1. Sigmaplot – *.jnb
2. Microsoft Excel (972013) (*.xls, *.xlsx)
3. SPSS(..21) (*.sav)
4. SAS (69) (*.sd2; *.sas7bdat)
5. SAS Transport (*.xpt; *.tpt)
6. MiniTab (813) (*.mtw)
7. Statistica 12 (*.sta)
8. Stata (..12) (*.dta)
9. JMP (311) (*.jmp)
10. DBase (*.dbf)
11. ASCII Text (*.txt; *.dat; *.csv)
12. ArcView (*.shp)
13. Lotus (*.wk1; *.wk2; *.wk4;*.wks)
14. DIF (*.dif)
15. Statview (*.svd)
Fixed Issues:
– 32 bit and 64 bit
a. Broken command line scripts: SYSTAT command line scripts were failing
to execute because of IE upgrade from 6.0 to higher versions. The
problem is fixed.
b. Unsynchronized commands generated in the log file problem fixed.
c. Saved scripts generated through the Start/Stop utility were unusable
as they did not have extension. Now the scripts get saved with
extension.
d. Commands generated through LOGLIN dialog are case sensitive and
Systat would recognize only Uppercase. Now SYSTAT recognizes both the
cases.
e. Start page’s Scratchpad now supports all keyboard shortcuts.
f. Replace (Ctrl+H) is enabled in batch tab of command space.
g. New toolbar button disabled when Interactive and log tabs are clicked.
h. Frozen menu in Start page is cleared.
64 bit only
a. In 64Bit application, response to mouse center button in Grid Scroll bar was erroneous, the problem is solved.
b. In 64bit SYSTAT, nondisplay of Data Edit bar in Grid View is corrected.
New Features in version 13 




Try SYSTAT 13’s New Statistical Features
Explore the latest additions to SYSTAT 13's statistics portfolio.
Forecast Time Series Error Variance with ARCH and GARCH
Conventional time series analysis procedures assume that the variance of the
random (error) terms in the series is constant over time. In practice, however,
certain series, especially in the financial domain, exhibit volatility with
different levels of variance in different periods. In order to capture and
model this phenomenon, Autoregressive Conditional Heteroskedasticity (ARCH)
models have been developed. Here the variance at each point of the series is
modeled using the past disturbances in the series. The ARCH model generally
requires a large number of parameters to successfully capture the dynamics of
the error variance. The Generalized Autoregressive Conditional
Heteroskedasticity (GARCH) model, by introducing additional autoregressive terms
of the error variance helps achieve parameter parsimony in the modeling.
SYSTAT 13’s Time Series Analysis update provides the following:
 Hypothesis tests for ARCH effects: Wellknown McLeod and Lagrange
Multiplier tests are provided for this purpose.
 Estimation of ARCH and GARCH model parameters by different implementations
(BHHH, BFGS, and NewtonRaphson) of the maximum likelihood method with various
options for convergence criteria.
 Forecasts for error variances using the parameter estimates.
 The JarqueBera test for normality of errors.
Find the Best Predictors with Best Subsets Regression
In the development of a multiple (linear) regression model, it would be nice
if the number of predictors in the model developed is small without sacrificing
predictive power. The best subsets regression addresses this issue.
 SYSTAT 13 finds best models (choice of predictors) for a given number of
predictors, the number varying from one to the total number available in the
data set.
 The best model is identified by various criteria such as R2, Adjusted R2,
Mallow’s Cp, MSE, AIC, AICC and BIC.
 SYSTAT 13 then offers to carry out a complete regression analysis on the
data set chosen by the user (same as the training set or different) on the
best model selected by any of the criteria.
Examine the Fitness of Statistical Models Using Confirmatory Factor
Analysis
The Factor Analysis feature in SYSTAT 13 now includes Confirmatory Factor
Analysis (CFA).
 CFA can be used to test the postulated factor structure based on a priori
knowledge about the relationship between the observed (manifest) variables and
the latent variables.
 With CFA, SYSTAT allows users to specify the observed variables, a set of
latent variables, and their variancecovariance structure.
 A path diagram can be used to specify the hypothesized model.
 SYSTAT 13 estimates the parameters of the CFA model using one of the
following estimation options: Maximum likelihood, Generalized leastsquares,
and Weighted leastsquares.
 SYSTAT 13 provides a wide of variety of goodnessoffit indices to measure
the degree of conformity of the postulated factor model to the data. Some of
the wellknown indices provided are: GoodnessofFit Index (GIF), Root Mean
Square Residual (RMR), Parsimonious Goodnessof fit Index (PGFI), AIC, BIC,
McDonald’s measure of Certainty, and Nonnormal Fit Index (NNFI).
Try SYSTAT 13's Newest Regression Capability: Polynomial Regression
SYSTAT 13 provides a direct computation of polynomial regression on a single
independent variable. The key features are:
 The order of the polynomial can be up to 8.
 Besides fitting polynomials in standard forms, SYSTAT 13 provides
orthogonal polynomial regression.
 SYSTAT 13 reports goodnessof fitstatistics (R2 and adjusted R2) and
ANOVA with pvalues for all models, starting from the order specified by the
user, down to linear (order = 1).
 SYSTAT 13 provides confidence and prediction interval plots along with
estimates, and a plot of residuals versus predicted values, as Quick Graphs.
Add Polish to Your Research with Stunning 2D and 3D Graphs
SYSTAT 13 renders visually compelling 2D graphics perfect for publication,
and incredible 3D graphics that bring an incredible wowfactor to any research
or business presentation. SYSTAT 13 comes packed with new graphical editing
features, such as:
 Richer Color Choices: Specify any color for your graphs from
their red, green and blue component values.
 New Editing Capabilities: Edit graph size, color, axes,
legends, border display, etc. using interactive dialog boxes.
 New Color Gradient Editing: SYSTAT 13 gives you precise
control over gradient color and style on 3D graph surfaces.
 New Graph Labeling Features: Generate numeric case labels in
plots, multivariate displays and maps. Label the dots in dot plots.
Explore SYSTAT 13’s Improvements to Its Existing Statistical Methods
Enjoy more robust testing, regression and crosstabulation features with
SYSTAT 13.
Analysis of Variance Upgrades
The Analysis of Variance feature now provides:
 Levene’s test based on median for testing homogeneity of variances.
 A SUBCAT command that categorizes the desired factors just for the purpose
of the analysis.
Basic Statistics Upgrades
The Basic Statistics updates in SYSTAT 13 include:
 Standard error and confidence interval for the trimmed mean.
 Winsorized mean, its standard error and confidence interval.
 Sample mode and mode based on kernel density estimate of data.
 Interquartile range
Bootstrap Analysis Upgrades
In previous versions, SYSTAT has analysis of the bootstrap outputs,
summarizing the key parts of the outputs by histograms, computing various types
of bootstrap estimates, their biases, standard errors, confidence intervals, and
pvalues. In SYSTAT 13, this facility is added to Hypothesis Testing and
enhanced in LeastSquares Regression.
 In Hypothesis Testing, SYSTAT 13 provides bootstrapbased pvalues and
histograms of the test statistic obtained from the bootstrap samples. Apart
from the usual pvalues of the tests, users can now request bootstrapbased
pvalues in all tests for mean (onesample z, onesample t, two sample z,
twosample t, paired t, Poisson) and variance (single variance, two variances
and several variances)
 In LeastSquares Linear Regression, a choice of bootstrapping residuals
has been included. Bootstrap estimates of the regression coefficients, their
biases, standard errors, and confidence intervals are then computed based on
these.
Crosstabulation Upgrades
Updates provided in the Crosstabulation (XTAB) feature include the following:
 Relative Risk: In a 2 x 2 table, the relative risk is the ratio of the
proportions of cases having a ‘positive’ outcome in the two groups defined by
row or column. Relative Risk is a common measure of association for
dichotomous variables.
 Mode: SYSTAT 13 gives an option to list only the first N categories in a
oneway table (frequency distribution). This is done by adding a MODE = N
option to the PLENGTH command within XTAB.
 Output categorized appropriately based on the type of table, and
reorganized table of measures.
Hypothesis Testing Upgrades
The Hypothesis Testing feature has been strengthened by adding tests for mean
vectors of multivariate data.
 Onesample Hotelling’s T2 test for mean vector of multivariate data equal
to a known vector.
 Twosample Hotelling’s T2 test for equality of two mean vectors of
multivariate data.
For twosample z, twosample t, and test for two variances, users can now
directly input data in a layout where the data across the samples appear in
different columns. This is in addition to the current indexed layout.
Logistic Regression
SYSTAT 13 offers more intuitive ways of analyzing binary, multinomial,
conditional, and discrete choice models. Specifically:
 Simplified and easy user interface and command line structure to analyze
binary, multinomial, conditional, and discrete choice models separately.
 Option to specify the reference level for the binary and multinomial
response models.
 Simpler form of input data to analyze matched sample casecontrol studies
with one case and any number of controls per set.
 For Discrete choice models, SYSTAT 13 provides two data layouts: ‘Choice
set’ and ‘By choice’ to model an individual’s choices in response to the
characteristics of the choices.
Nonparametric Tests
Updates in Nonparametric tests include:
 JonckeereTerpstra test as an alternative to MannWhitney test: The test
is used when the treatments are ordered in terms of the response. This test
is based on the sum of the k(k1)/2 MannWhitney counts (for k
treatments).
 FlignerWolfe test as an alternative to MannWhitney test: The test is
used when one of the treatments acts as a control, to test equality of
response to control visàvis all other treatments, with a onesided
alternative. This is a MannWhitney test with two groups when the control is
one group and all other treatments together form another.
 Post hoc (multiple comparisons) tests of DwassSteelCritchlowFligner and
of ConoverInman which can be used as a followup when a KruskalWallis test
shows significance.
 A multiple comparison test due to Conover as a followup of Friedman test
showing significance.
Hardware: Windows 10, 8.x, 7 and Windows Vista:
 1 GHz 32bit (x86) or 64bit (x64)Processor
 1 GB of System Memory (32bit)
 2 GB of System Memory (64bit)
 100 MB of Available Hard Disk Space
 CDROM Drive
 800×600 SVGA/256 Color Display or Better
 Internet Explorer Version 8 or better

Hardware: Windows XP:
 1GHz 32 or 64 bit Processor
 1GB of System Memory (32bit)
 2GB of System Memory (64bit)
 100 MB of available Hard Disk Space
 CDROM Drive
 800×600 SVGA/256 Color Display or Better
 Internet Explorer Version 6 or better

Software:
 Windows 10, 8.x, 7, Windows Vista or Windows XP; Internet Explorer 8 or higher;
 Office 2003 or higher (for Excel Integration, Paste to Powerpoint Slide, Insert Graphs into Word and other macros).

