IBM SPSS Statistics is a popular statistical analysis package used around the world. It can be used in many different fields. It offers innovative data management tools and a variety of utilities that evaluate large data sets, detect trends in the data, and then provide accurate predictions.
This package is really a set of utilities designed for statistical analysts and programmers. These experts know the tools and methods of statistical research in order to make sound decisions. The standard edition offers graphical and statistical capabilities that any user can understand.
This package has a data editor, which is like the common spreadsheet application. It allows you to manually enter data or import databases from dBase, Lotus, text files, Excel, or Cognos BI.
The application has data management tools that allow you to perform data validation, data comparison, duplicate identification, file merging, file restriction, variable classification, and file splitting. In addition, it has many other innovative statistical analytical functions. You can use the application to calculate ratios, frequencies, graph generation, ANOVA tests, T tests, linear model processing, generalized model processing, regression estimates, curve estimates, data classification, and much more.
Forecasting trends is allowed. It enables you to activate spectral analysis, create new models, and perform quality control, data simulation, and ROC curve analysis. As you might expect, there is a variable editor and numerous chart templates.
An output window is included for data visualization purposes. There is even a script editor for the purpose of automating tasks.
In conclusion, IBM SPSS Statistics meets the requirements of expert analysts and researchers. Since it is supported by professional statistical procedures, users can create forecasts and trends with greater precision.
Features and highlights
It covers the entire analytical process, from planning and data preparation to analysis, reporting and implementation.
Provides custom functionality and custom interfaces for different skill levels and functional responsibilities of business users, analysts, and statisticians
It includes flexible deployment options, from standalone desktops to enterprise-strong server versions.
Provides faster performance and more accurate results compared to spreadsheet-type non-statistical software
Works with all common data types, external programming languages, operating systems, and file types
Offers a wide range of specialized techniques to accelerate productivity and increase effectiveness.
Note: 14-day trial version.