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The full version of Statistica's free statistical software gives you a powerful, easy-to-understand tool for exploring data from a variety of fields. Explore your data with charts and graphs, find relationships hidden in your data or between different variables, identify outliers and assess their impact on the model’s results, visualize multilinear regression models, run powerful forecasting techniques and many more functions. Statistica is an intuitive software that provides you with the necessary tools to easily analyze any type of dataset: whether simple or high dimensional; tabular or not; heteroscedastic or homoscedastic; skewed or normally distributed. And even if you are more expert, Statistica will let you work the way you want. The analysis of data can be carried out on different levels of complexity, from more basic procedures with intuitive wizards to more advanced procedures using mathematical modeling techniques. You can also perform elementary statistical analyses using standard descriptive statistics or with curve fitting. For basic statistical analysis, Statistica provides a set of built-in descriptive statistics for character data and numeric data, as well as exploratory tools for data visualization. You can easily visualize your data in charts or graphs to allow an immediate comprehension of the meaning behind the numbers. With these functions it is easy to detect outliers and find potential problems in your dataset during preliminary analysis. For statistical analysis of data, Statistica offers a wide range of procedures that let you explore multivariate relationships between variables. It is always easy to identify whether there is a relationship between two variables and how it may affect the interpretation of the results. Statistically, any dataset contains outliers in the form of points whose values are different from a set of values in a dataset. In an outlier, you can find patterns and trends that might be hidden behind the information in the data. Statistica makes drawing, editing and labeling outliers simple and intuitive. Statistica provides powerful tools to assess the impact of outliers in your data. You can visualize these effects so you can identify them in real time. Furthermore, you have the ability to model how they may influence the results of your analyses. Other statistical analysis procedures include techniques for classification, clustering and regression modeling. With these methods it is possible to create models that are appropriate for a given dataset, whether descriptive or predictive. Statistica uses data analysis software packages that are widely used in statistics due to their comprehensive sets of functions and ease-of-use. These packages are integrated into Statistica's graphical user interface so all major statistical models are available without any need for advanced mathematical knowledge. In addition, Statistica provides a comprehensive library of applied regression models. Statistica's built-in functions have been designed to facilitate the analysis of data from a variety of fields. The main fields include:The main features of the free statistical software are listed below: Statistica is available in an intuitive graphical user interface that makes it easy to work with different types of datasets. You have the option to graphically explore your data or work interactively with your data in tables or charts, or through interactive modeling techniques. It also offers several powerful tools to perform statistical analysis, draw and visualize multivariate relationships between variables, and assess their impact on the results. cfa1e77820
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