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You can quickly create statistical and machine learning models using hundreds of built-in algorithms. The tool will then choose the most appropriate one for your task. TIBCO may also contact you via email, phone, or social media about their products and services. Below, please indicate that you consent to the use of your personal information. Capability to draw and render hundreds of graphic representations, with dynamic linking between data and graphs
Data is the ability to use the Internet to perform web computing and integrate databases from different regions of the globe on different corporate servers. Statistica, an advanced analytics package, was originally developed by StatSoft and is currently maintained by TIBCO software Inc. Statistica provides data management, data analysis, statistics, data mining, and text analytics, as well as data visualization and statistical procedures.
Statistica, a suite of analytics products and solutions that was originally developed by StatSoft, was acquired by Dell in March 2014. Statistica includes a range of data analysis, visualization, and data mining techniques, as well as various predictive modeling, clustering, and classification techniques. Additional techniques are available through integration with the free, open-source R programming environment. Different packages of analytical techniques are available in six product lines. StatSoft developed STATISTICA Enterprise, an analytical and statistical software program. It offers data management, data analysis, and data visualization tools for the user.
This software is perfect for creating high-quality statistical charts that you can print. This software is preferred by large industrial companies all over the globe. It has many unique capabilities, including the ability to analyze multiple clients simultaneously and a networked version.
It was compatible with both 32-bit Windows 95/NT (3.1) and older Windows 3.1 versions. It included many new statistics and graphics, and output editor in word processor style, and a development environment that allowed the user to create new procedures (e.g. via the included StatisticaBasic language) and integrate them into the Statistica system. The software is easy to use. You can load a table with data, and then apply statistical functions using pull-down menus. The menus will prompt you to select the variables and type of analysis that you want. Each analysis can include the tabular or graphical output. They are stored in their own workbooks. Statistica was originally derived from a collection of software packages and addons that StatSoft initially created in the mid-1980s.
Perform Weighted Fitting using either Levenberg-Marquardt or Orthogonal Distance Regression algorithms. The latter supports weights for both X and Y data. Select from over 12 weighting methods including instrumental, statistical, direct, arbitrary dataset, and variance.
The graph shows a Custom Report of numerical and graphical results from multiple statistical tools, created from Origin's flexible worksheet. Once created, such reports can be automatically generated, greatly simplifying your statistical analysis tasks.
SPSS is a powerful program for statistical analysis and data management. For over 40 years the suite remains the choice of many advanced statistics professors and an outstanding number of researchers.
PSPP is a free statistical tool for the analysis of sampled data. It has been thought as a replacement for SPSS, a powerful statistical package with the downside of being costly. Additionally, it has the advantage of running on different platforms.
MeV is a desktop application for the analysis, visualization and data-mining of large-scale genomic data. It is a versatile microarray tool, incorporating sophisticated algorithms for clustering, visualization, classification, statistical analysis...
Based on the Understanding by Design (Wiggins and McTighe) model, this course framework provides a clear and detailed description of the course requirements necessary for student success. The framework specifies what students must know, be able to do, and understand, with a focus on three big ideas that encompass the principles and processes in the discipline of statistics. The framework also encourages instruction that prepares students for advanced coursework in statistics or other fields using statistical reasoning and for active, informed engagement with a world of data to be interpreted appropriately and applied wisely to make informed decisions. 153554b96e
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