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What is SAS/STAT?
SAS/STAT provides highly accurate methods specifically designed for small datasets, along with robust statistical modeling features that cater to extensive data collections and innovative approaches to address missing data issues. The software is consistently updated, enabling users to tap into the newest developments in the rapidly changing field of statistics. With a history of over four decades in producing state-of-the-art statistical analysis tools, SAS has established itself as a trusted name known for delivering exceptional and reliable results. Each software version undergoes thorough quality assurance and testing to ensure it adheres to stringent standards. Users can be confident that the code produced by SAS/STAT aligns with both corporate and regulatory requirements, guaranteeing dependability in their analyses. Moreover, SAS/STAT offers a diverse selection of customizable charts and graphs, enhancing the clarity of statistical results and ensuring they are user-friendly and easy to interpret. This rich combination of features solidifies SAS/STAT's position as an essential tool for statisticians and data analysts, making it a preferred choice for those aiming to derive meaningful insights from data. Additionally, its user-friendly interface and comprehensive documentation further empower users to maximize their analytical potential.
What is GraphPad InStat?
Numerous statistical software tools are developed by statisticians primarily for their peers, resulting in applications that, while feature-rich, can overwhelm scientists due to their intricate manuals, specialized jargon, and high costs. In contrast, GraphPad InStat is uniquely designed by a scientist for fellow researchers, making it an exception in the field. This intuitive software enables users, even those with minimal statistical background, to analyze their data quickly and effortlessly. InStat offers a seamless statistical analysis experience, guiding users through the entire evaluation process step by step. Within a brief period, you will gain competence in using InStat without needing to pinpoint the exact statistical test suitable for your data. The program aids in test selection by asking tailored questions about your dataset, which ensures a customized approach to analysis. Should any questions arise, the extensive help screens provide clear explanations of statistical concepts in layman's terms. InStat is designed to accommodate users at all levels of statistical expertise, delivering results in simple language while reducing the use of complex jargon. Additionally, the help screens present a thorough explanation of how each statistical test is applied, rendering it an essential tool for researchers. The straightforward nature of InStat not only demystifies statistical analysis but also enhances its accessibility and effectiveness for all users, regardless of their prior experience. Thus, InStat serves as a bridge between complex statistical methods and the diverse community of researchers.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SAS Institute
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en/software/stat.html
Company Facts
Organization Name
GraphPad Software
Company Website
www.graphpad.com/scientific-software/instat/
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Categories and Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization