STATISTICA, the universal statistical software par excellence! From data import to data management, up to graphical and statistical analysis, STATISTICA provides even in the basic version all the tools needed for sophisticated data analysis. The descriptive statistics include not only all common statistical key figures but also tests for outliers and normal distribution Scatter-, Q-Q- and box-plots are easily producible. STATISTICA comprises a variety of parametric and non-parametric tests on mean values (t-test), group comparisons (independent and paired t-test), equality of variances (Levene) and many more. By applying different modeling strategies (Step by Step), multiple linear regression models are configured, evaluated on the basis of quality criteria (R2), and interpreted using a variety of graphics. Additional packages allow to extend the functionality of STATISTICA to many specialized areas of statistics (data mining, text mining, etc.).

A particular advantage of STATISTICA in comparison to some other commercial or open-source products is its clear and easy to use interface, which is based on conventional spreadsheet programs. Thus, starting statisitcal analysis is easier by using STATISTICA. Furthermore, STATISTICA allows you to import and export many different file formats, which increases the practicality significantly.

**Arguments for STATISTICA:**

- Contains comprehensive functionality
- Functionality can be extended with modules
- Has an easy and clear user interface
- Allows the import and export of various data formats
- Extensibility via modules

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## STATISTICA Desktop - Professional

STATISTICA is a statistics and analytics software package developed by StatSoft. STATISTICA provides data analysis, data management, statistics, data mining, and data visualization procedures. STATISTICA product categories include Enterprise (for use across a site or organization), Concurrent Network Desktop, and Single-User Desktop. STATISTICA Base provides you with the essentials of statistical methods, like statistical indicators, correlation and variance analysis (for more details view the "Features" tab).

STATISTICA is a userfriendly, versatile and powerful software for a great area of applications. The software is extendible with various "Special Products" to meet even the most exceptional needs of customers.

## STATISTICA - Graphic Tools

STATISTICA includes analytic and exploratory graphs in addition to standard 2- and 3-dimensional graphs. Brushing actions (interactive labeling, marking, and data exclusion) allow for investigation of outliers and exploratory data analysis.

#### Efficient User Interface and Templates

The user interface can be customized, for example, for routine tasks. Quickly accessible tabs containing only the relevant options, more advanced tabs contain all the more secialized options. Furthermore STATISTICA gives you the oppurtinity to save your work at any point to continue later on (including all open windows, dialogs, etc.).

#### High-Value Graphics for Presentations

STATISTICA comes with more than 100 different 2D and 3D graphics and has a wealth of graphical tools. Additionally, the software provides hierarchical graph style libraries and supports connections to multimeda objects. Through Visual Basic and other supported programming languages, STATISTICA allows the creation and editing of high-quality custom graphics.

#### Efficient Datamanagement

Organize your documents (STATISTICA graphics, spreadsheets, Excel, Word, etc.) into highly manageable workbooks. With the tree structure you have a clear view on all of your documents within the workbook and can quickly adjust and edit them if needed. Outputs can be directly exported to Microsoft Word. Moreover STATISTICA supports outputs to PDF- and RTF-files and allows you to customize them by dragging objects with the mouse. Do you use the **STATISTICA Document Management System**? If so, then you can easily export and store all of your workouts there and manage them in a secured environment.

#### Virtually No System Limits

STATISTICA is a comprehensive system with virtually no limits: Create text values, variable names, labels, etc. without any limitation of characters. Analyze an unlimited number of variables and cases. Perform multiple analyzes simultaneously. With STATISTCA's powerful speed optimizations you can calculate terabytes of data.

### Fully Programmable

With STATISTICA, you do not just get a comprehensive software for data analysis but also a system that can be adapted completely. Thanks to the integration of Visual Basic you have the possibility to adjust almost any function, analysis, program feature, etc. accurately to your needs. Moreover STATISTICA supports HTML and .NET. The graphical option of STATISTICA are also accessible through programming, which opens up almost unlimited possibilities for creating highly customized graphics. Those custom graphics can be permanently integrated into the user interface (for example, by adding a button to the toolbar or the menu entry).

### Further Information

## STATISTICA Trial Version

The producer Statsoft offers a free trial version of the software STATISTICA on his website. Visit the following link and fill in all the necessary information to get access to a free trial version: **STATISTICA trial version**

**STATISTICA Single User Installation Guide** *(engl. PDF, 79,9 KB)*

## System Requirements for STATISTICA - Desktop Professional

Windows | |

Further Requirements | Statistica 64-Bit needs a 64-Bit processor and operating system The optional advanced hardware graphics support for transparency requires Windows 7 or Windows Vista SP2 with the “Platform Upgrade” system update |

Operating System | Windows Vista, 7, 8, Windows Server 2008, 2012 (32-/64-Bit) |

Min. CPU | 500 MHz (2 GHz, Dual-Core-Processor recommended) |

Min. RAM | 4 GB |

Disk Space | 10 GB (additionaly ca. 50 GB free space for user data is recommended) |

**STATISTICA on Mac and Linux operating systems:**

STATISTICA can be installed on a Mac or Linux OS with a virtual mashine emulating windows. Please be aware that **STATISTICA has not been tested on Mac or Linux operating systems!** STATISTICA heavily relies on the .NET Framework and other technologies from Microsoft. More Information can be found here: **Dell Support: Using Statistica on a Mac (Macintosh) or with Linux**

## General Features

- calculations with extended precision (4-fold accuracy)
- various display of data formats corresponding to the content interpretation
- automatic marking of significant results
- Reporting
- simple formatting of output
- inserting graphics and tables in reports
- HTML-, Word-, RTF- and PDF format

- Data Preparation
- stacking, unstacking
- detecting outliers and missing data
- recording, filtering, standardizing variables
- transpose, order
- merge various tables of data on cases or variables
- selection of sub-regions and case selection
- generating random numbers
- Box-Cox-Transformation

- simle usage of result tables as input for further analysis
- analysis and evaluations applicable to entire tables or selected blocks

## Descriptive Statistics, structured Statistics, explorative Data Analysis

- Descriptive Statistics
- median, mode
- quartiles, user-defined percentile
- means, standard deviation, variance
- skewness, excess, standard error
- confidence intervals for the means
- harmonic instruments, geometric instruments
- special descriptive statistics and diagnostics parameters
- minimum, maximum, sum
- bearing, interquartile range

- Cleanup of Data
- trimmed mean
- Grubbs-test for outliers

- Checking for Normal Distribution with:
- Kolmogorov-Smirnov-Test
- Lilliefors-Test
- Shapiro-Wilks-Test

- Analysis by Groups
- grouping of data by categorical variables
- categorizing of constant variables
- recoding of variables
- hierarchical structure and analysis of the individual sub-groups

- Exploratory Data Analysis on a variety of Graphics
- Box-Whisker-Plots
- histograms, bivariate histograms (3D or in categories)
- 2D- and 3D-Scatterplots
- Probability-Plots (single-sided, trend-adjusted)
- Q-Q-Plots, P-P-Plots

## Correlations

- Association Measures
- Pearson r
- Spearman R
- Kendalls Tau (b,c)
- Gamma
- Tetrachorisches r
- Phi
- Cramers V
- contingency C
- Sommers d
- uncertainty coefficient
- partial correletaions
- autocorrelations

- Calculation of Correlation Matrices
- exclusion of missing values (in pairs or occasionally)

- Graphical display of Results in:
- Scatterplots with confidence intervals
- Matrixscatterplots
- Surface Plots
- bivariate 3D-histograms
- Distribution Plots

- brushing and outlier diagnosis

## Interactive Probability Calculator

- extensive Choice of Distributions
- beta
- binomial
- Cauchy
- Chi-Square
- exponential
- extreme value
- F
- gamma
- hypergeometric
- Laplace
- Lognormal
- logistic
- Pareto
- Poisson
- Rayleight
- T (Student)
- Weibull
- Z (Normal)

- calculation of characteristics for Pearson product-moment correlation
- Six-Sigma calculator
- calculation of DPMO

## t-Tests (Tests on Differences between Groups)

- independent samples according to groups
- independent samples by variables
- dependent (paired) samples
- single sample
- Hotelling T²
- A variety of Options in the Results Dialog
- separated estimate of variances
- confidence interval
- Levene-Test for homogeneity of variances
- Brown & Forsythe-Test

- Analysis typical Graphical Output
- Box-Whisker-Plots
- histograms in categories
- Normal-Probability-Plots (in categories, one-sided, trend-adjusted)
- Scatterplots in categories

## Frequency Tables, contingency and stacked Tables, Analysis of multiple Answers

- determining marginal frequencies and proportions of categorical or dichotomous variables
- options for the treatment of missing values (missing data)
- pairwise processing of variables
- categorization of cases with custom selection conditions
- individual formatting of the result tables
- breakdown-style or hierarchical arrangement of factors
- row, column or total percentages in contingency tables (crosstabs)
- highlighting certain categories
- cumulative, relative, logit and probit transformed frequencies
- expected Value at normal Distribution
- Kolmogorov-Smirnov-Test
- Lilliefors-Test
- Shapiro-Wilks-Test

- residual frequency
- Statistical Tests for contingency Tables (crosstabs)
- Pearson
- Maximum Likelihood
- Yates-corrected Chi-Square
- McNemares Chi-Square
- Fischer's exact test (one- and two-sided)
- Phi
- Cramérs V and C
- Tetrachorisches r
- Kendalls Tau (b,c)
- Gamma
- Spearman's R
- Sommers D
- uncertainty coefficient

- Analysis of graphical Output
- Interactionsplot for Frequencies
- 3D-histograms, histograms in categories
- Normal-Probability-Plots (in categories, one-sided, trend-adjusted)
- Box-Whisker-Plots

## Methods of Multiple Regression

- Linear Regression Models
- simple, multiple (for grouped data)
- stepwise (forward, backward, in blocks)

- Models with or without constants
- Models of ridge regression
- weighted least squares
- Characteristics of the Regression Table
- standard errors for B, Beta and constant
- R², R² corrected
- ANOVA table

- matrices with (partial) correlation coefficients
- correlation and covariance for regression coefficients
- sweep matrix (matrix inverse)
- Durbin-Watson-Statistic
- Mahalnobis- and Cooks-Distances
- residuals for deleted observations
- confidence intervals for predicted values
- two-stage least squares regression (macro)
- Box-Tidwell-Transformation (macro)
- Analysis of graphical output
- plot of residuals, plot of outliers
- normal probability plots
- observed values, forecast values
- plots of partial correlation
- iconplots

## Nonparametic Methods

- Wald-Wolfowitz' Runs-Test
- Mann-Whitneys
*U*-Test (with exact probabilities instead of the Z-approximation for small samples) - Kolmogorov-Smirnov-Tests
- Wilcoxon-Test for paired samples
- Kruskal-Wallis ranked analysis of variance
- median test
- prefix test
- Friedmans ranked analysis of variance
- Cochrans
*Q*-Test - McNemar-Test
- Kendalls coefficient of concordance
- Kendalls
*Tau (b, c)* - Spearmans
*R* - Fishers exact test
*Chi-Square*-Tests*V*-Square-Statistic*Phi**Gamma*- Sommers
*d* - contingency
- analysis of graphical output
- 3D Histograms, Histograms in Categories
- matrix scatterplots
- Box-Whisker-Plots

## Distribution Fitting

- normal distribution
- rectangular distribution
- exponential distribution
- gamma distribution
- lognormal distribution
- chi-square distribution
- Weibull distribution
- Gompertz distribution
- binomial distribution
- Poisson
- geometric distribution
- Bernoulli distribution
- chi-square test
- Kolmogorov-Smirnov One Sample Test
- Lilliefors-Test
- Shapiro-Wilks-Test
- densities- and distribution functions
- Simulation Methods
- Monte Carlo
- Latin-Hypercube-Sampling (LHS)
- Iman-Conover-Method
- LHS with Iman-Conover-Method

- analysis of graphical output
- P-P-Plot, Q-Q-Plot
- Box-Plot
- histograms (with adjustment, cumulative)
- empirical distribution function