STATISTICA desktop named user prices
4450.6

 

Total
incl. 19 % VAT

Quantity

price

4.450,60

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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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  Windows
Further Requirements Improved-Graphic-Hardware-Support requires Windows 7 or Windows Vista SP2 with the "Platform Upgrade" update installed.
Operating System Windows 2000, XP, Vista, 7, 8, Windows Server 2008 (32-/64-Bit)
Minimum CPU 500 MHz
Min. RAM 512 MB
Disc Space 660 MB (without multi-media files), 1 GB (with multi-media files)

Quality Control Charts (QC-Charts)

  • control charts for measuring test
    • x-bar & r (x-bar-map for averages, r-map for process variation)
    • x-bar & s (x-bar-map for averages, s-card for process variation)
    • x & mr (x card for individual values, moving range card for process variation)
    • ma x-bar & r card (moving average: moving average)
    • ma x-bar & s card
    • ewma x-bar & r card (exponentially weighted moving average)
    • ewma x-bar & s card
    • cusum map individual values ​​(control chart for cumulative totals)
  • control charts for the counting exam
    • c-card (number of defects, poisson)
    • u-card (deficiency ratio, poisson)
    • np-card (number committee, binomial)
    • p-card (rejection rate, binomial)
  • pareto
  • multivariate control charts
    • hotelling t² card for single or average values
    • mewma -card for single or averages (multivariate exponentially weighted moving average)
    • multivariate cusum-card
    • multiple stream x / mr-card (multiple stream card for individual values ​​and multiple stream moving range card)
    • multiple stream x-bar and r-card (multiple stream map for sample means and multiple stream range card)
    • multiple stream x-bar and s-card (multiple stream map for sample means and multiple stream standard deviation card)

Analysis of Processes and Measurement Systems (SPC, MSA)

  • analysis of process capability and process performance
    • process capability analysis and tolerance intervals, individual data or aggregated data
    • process capability iso 21747 (distribution time models)
    • process capability for position tolerance (2-dimensional process capability)
    • capability analysis for scoring test (binomial and poisson)
  • analysis of the measuring system (msa)
    • gage r and r with and without operator influence (msa i / iii)
    • repeatability and reproducibility of measurements (msa ii, eng. gage repeatability and reproducibility, r and r)
    • linearity of measuring equipment (gage linearity)
    • attributive measurement system analysis (analytical method)
    • attributive analysis of auditors match
    • msa attribute data with or without reference (effectiveness of the measuring system)
  • analysis of downtime
    • estimate the life time with weibull
    • censored and uncensored downtime
    • determination of failure-free time (position parameters)
    • weibull-network
  • cause and effect diagrams (ishikawa, fishbone)

Test Planning and Test Evaluation (DoE)

  • experimental designs for two-factors
    • factorial and fractional factorial 2 ^ (kp) plans (2-11 factors)
    • fractional factorial plackett-burman screening to (7-127 factors)
    • fractional factorial plans with user-specific settings (resolution)
    • factorial and fractional factorial plans with constraints (restrictions)
    • d-optimal plans (search algorithms: dykstra, wynn-mitchell, detmax, fedorov)
  • experimental designs for multi-stage factors
    • factorial and fractional factorial 3 ^ (kp) plans (2-10 factors)
    • fractional factorial box-behnken plans (3-9 factors)
    • factorial and fractional factorial plans with constraints (restrictions)
    • d-optimal plans (search algorithms: dykstra, wynn-mitchell, detmax, fedorov)
    • combined plans for 2 and 3-level factors (factors 2-10)
    • central composite plans (action area plans, central composite designs, 2-8 factors)
    • latin squares and greek-latin squares (3-5 factors 3-9 steps)
    • d-optimal split-plot design (1-20 hard-to-change factors, 1-32 easy-to-change factors)
  • experimental designs for robust processes to taguchi
    • orthogonal arrays (3-31 factors 2-5 steps)
    • signal-to-noise ratios (s / n ratios, eta)
    • eta transformations (smaller-the-better, nominal-the-best, larger-the-better, signed target, fraction defective)
  • experimental designs for mixing proportions
    • simplex lattice plans (2-16 factors polynomial 1-3)
    • simplex-centroid plans (2-9 factors)
    • plans for mixing proportions with additional restrictions

Power Analysis

  • calculation of sample sizes, the test for strength for:
    • 1-sample t-test
    • t-test for independent samples
    • t-test for paired samples
    • mean values ​​planned contrasts
    • averages, anova
    • averages, two factor anova
    • a variance, chi-square test
    • two variances, f-test
    • a correlation, t-test
    • two correlations, z-test
    • square multiple correlation
    • a portion, z, chi-square test
    • two portions z-test
    • two portions, paired samples
    • survival - log-rank test
    • survival - exponentially, limited
    • survival - exponentially bounded with failure
    • structural equation modeling
  • interval estimation
    • 1-sample t-test
    • t-test for independent samples
    • t-test for paired samples
    • mean values ​​planned contrasts
    • averages, anova
    • averages, two factor anova
    • a correlation, t-test
    • square multiple correlation
    • a portion, z, chi-square test
    • structural equation modeling
  • probability distribution
    • noncentral t-distribution
    • noncentral f-distribution
    • noncentral chi-squared distribution
    • square multiple correlation
    • pearson correlation
    • binomial