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Description
In a secure and manageable setting, users can swiftly derive insights from their data. Data can be collected in various formats and types, enabling the creation of new variables and the selection of specific cases of interest. Through effective data analysis techniques, both numerical and categorical variables can be thoroughly examined and analyzed. Results can be presented either in tabular form or through graphical representations. Additionally, users can investigate the relationships between different variables and assess the significance of these relationships. Various statistical tests, such as Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney, ANOVA, and Kruskal-Wallis, can be employed to achieve this. Moreover, the most commonly used measures of scale reliability can be easily selected and calculated. One can also verify the consistency of dimensions in the dataset. Utilizing measures like Cronbach's Alpha—both raw and standardized, with or without item deletion—Guttman’s six, and Intraclass correlation coefficients (ICC), provides further insights into the reliability of the data. This comprehensive approach ensures a thorough understanding of the data's structure and relationships.
Description
WinSTAT serves as a powerful statistics Add-In for Microsoft Excel, providing comprehensive information about its features and benefits. Are you fed up with complex statistics software that requires expert-level knowledge? Discover why WinSTAT could be the ideal solution for your needs. Curious if it includes the functions and visualizations that you're looking for? Explore the function reference page, which showcases sample outputs for various tables and graphics associated with all functions. If you're still on the fence, the best way to determine its value is to experience WinSTAT firsthand. You can easily download the demo right here. We genuinely believe that WinSTAT will play a pivotal role in your statistical endeavors, so why wait? Take the step towards a brighter future in data analysis by ordering WinSTAT today. Among its offerings are regression analysis techniques such as linear, multiple, and polynomial regression, as well as correlation methods like Pearson, Spearman, and partial correlation. Additionally, it provides statistical tests including dependent and independent t-tests, along with various visualizations such as box-plots, scatterplots, histograms, and probit charts. Moreover, WinSTAT includes goodness-of-fit tests like Kolmogorov-Smirnov and Shapiro-Wilk, along with the Chi-square test, giving you a robust toolkit for your statistical needs.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$29.90/month/user
Free Trial
Free Version
Pricing Details
$99.00
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Quark Analytics
Founded
2019
Country
Portugal
Website
www.quarkanalytics.com
Vendor Details
Company Name
R. Fitch Software
Website
www.winstat.com
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
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
Product Features
SPC
Corrective Actions (CAPA)
Data Entry
Data Linking
Data Management
Excel Loader
Job Management
OPC Data Collection
Performance Metrics
Point-of-Production Analysis
Real Time Data Collection
Regulatory Compliance