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Quantitative Analysis Guide: Which Statistical Software to Use? SPSS. Stata. SAS. R. MATLAB. JMP. Python. Excel.

The Best 5 Statistical Software Tools IBM SPSS Statistics. SAS/STAT. Stata. Minitab. GraphPad Prism.

Sophisticated statistical packages such as Statgraphics, SPSS, and SAS provide programs to analyze a variety of statistical models. Also, the commonly used Microsoft Excel package includes modules for some routine statistical models such as descriptive statistics and regression analysis.

Data is any numerical or. categorical data. Statistics is used to predict and make decisions. Describing is done through. statistical formulas, and analysis is interpretation of this data through statistical formula also.

A statistical package is defined as the software used to collect, organise, interpret and present numerical information. The need of a statistical package arises due to the complexity of calculations involved therein for analysis and inference. It helps to bring accuracy in results.

Statistical packages like R, SAS, SPSS, and STATISTICA are not as easy to use as specialized card sort programs when analyzing card sort data.

A statistical package is basically a collection of software routines with a common interface that has been designed to simplify the job of performing statistical analysis and related tasks such as data management.

Various Types of Statistical Software Used in Social Sciences: SPSS (Statistical Package for Social Sciences) SPSS is the most widely used powerful software for complex statistical data analysis. ... Stata. ... R. ... SAS (Statistical Analysis Software) ... MATLAB (MATrix LABoratory) ... Epi-data. ... Epi-info. ... NVivo.