Statistical software products are specialized programs designed to allow users to perform complex statistical analysis. These products typically provide tools for the organization, interpretation, and presentation of selected data sets. Statistical solutions typically package these data management capabilities with features specific to statistical analysis. Statistical analysis capabilities refer to capabilities that support analysis methodologies such as regression analysis, predictive analytics, and statistical modelling, among many others.
Statistical software tools are typically used by data scientists and mathematicians, but can provide industry-specific features. These may be features tailored to scientific research, cost modelling, or health science; other tools can perform specific statistical analysis across industry or use case.
Some products overlap within both statistical software and predictive analytics software or business intelligence platforms. However, most tools in those categories will not provide the same level of niche statistical analysis capabilities as statistical software.
To qualify for inclusion in the Statistical category, a product must:
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IBM SPSS Statistics software is used by a variety of customers to solve industry specific business issues to drive quality decision-making. Advanced statistical procedures and visualization can provide a robust, user friendly and an integrated platform to understand your data and solve complex business and research problems •Addresses all facets of the analytical process from data preparation and management to analysis and reporting •Provides tailored functionality and customizable interfaces
The primary mission of RStudio is to build a sustainable open-source business that creates software for data science and statistical computing. You may have already heard of some of our work, such as the RStudio IDE, Rmarkdown, shiny, and many packages in the tidyverse. Our open source projects are supported by our commercial products that help teams of R users work together effectively, share computing resources, and publish their results to decision makers within the organization. We also bui
SAS Base is a programming language software that provides web-based programming interface; ready-to-use programs for data manipulation, information storage and retrieval, descriptive statistics and reporting; a centralized metadata repository; and a macro facility that reduces programming time and maintenance headaches.
NumXL is a suite of time series Excel add-ins. It transforms your Microsoft Excel application into a first-class time series software and econometrics tool, offering the kind of statistical accuracy offered by the far more expensive statistical packages. NumXL integrates natively with Excel, adding scores of econometric functions, a rich set of shortcuts, and intuitive user interfaces to guide you through the entire process. NumXL comes packed with scores of functions that you can easily access
nQuery is now the world's most trusted sample size and power analysis software. In 2018, 91% of organizations with FDA approved clinical trials used nQuery as their sample size calculator. It is used by Biostatisticians of all levels of expertise. Created by sample size experts, nQuery boasts an extensive list of easy-to-use but powerful features for sample size calculation and power analysis.
PS is an interactive program for performing power and sample size calculations that may be downloaded for free. It can be used for studies with dichotomous, continuous, or survival response measures. The alternative hypothesis of interest may be specified either in terms of differing response rates, means, or survival times, or in terms of relative risks or odds ratios. Studies with dichotomous or continuous outcomes may involve either a matched or independent study design. The program can deter
AnalyzerProis a productivity software application for both low and high resolution LC-MS and GC-MS data with support for multiple vendors’ data. This comprehensive post-processing utility provides optimized workflows for sample-to-sample comparison, target component analysis, quantitation and library searching for data generated from any LC-MS and GC-MS platform.