š OpenStat Advanced ā Complete Online Statistical Analysis Tool
OpenStat Advanced is a powerful, free online statistical analysis tool that supports parametric and non-parametric tests, correlation analysis, regression, and ANOVA. It is designed for students, researchers, analysts, and educators who need accurate statistics without installing heavy software like SPSS.
Analyze data directly in your browser, upload CSV files, and export professional reports instantly.
š§® Supported Statistical Tests & Methods
OpenStat Advanced supports a full range of statistical analyses, covering descriptive, inferential, and non-parametric statistics.
š Correlation & Regression Analysis
- Pearson CorrelationMeasures the linear relationship between two continuous variables.
- Spearman Rank Correlation (Non-Parametric)Analyzes monotonic relationships using ranked data, ideal for non-normal distributions.
- Simple Linear RegressionExamines how one independent variable predicts a dependent variable, with clear interpretation of relationships.
š T-Tests (Mean Comparison)
- Independent Samples T-TestCompares the means of two independent groups.
- Paired Samples T-TestTests mean differences before and after measurements on the same subjects.
- One-Sample T-TestCompares a sample mean against a known or hypothesized value.
š ANOVA (Analysis of Variance)
- One-Way ANOVACompares means across three or more independent groups.
- Two-Way ANOVA (Factorial)
- Two independent factors
- Interaction effects (A Ć B)
- F-statistics, sum of squares, and degrees of freedom
- Ideal for experimental and academic research.
š Non-Parametric Statistical Tests
- Mann-Whitney U TestNon-parametric alternative to the independent t-test.
- Wilcoxon Signed-Rank TestNon-parametric alternative to the paired t-test.
- Kruskal-Wallis TestNon-parametric alternative to one-way ANOVA for multiple groups.
š Categorical Data Analysis
- Chi-Square TestAnalyzes relationships between categorical variables using contingency tables.
š Data Input & Export Features
- Manual data entry
- CSV file upload
- Variable & case management
- Export results as CSV
- Save full reports as PDF
šÆ Who Is OpenStat Advanced For?
- University students
- Academic researchers
- Data analysts
- Teachers & professors
- Market researchers
- Science & social science professionals
If you need accurate statistics without complexity, this tool is built for you.
Your data is processed in real time and not stored permanently. All analysis happens securely in the browser.
ā Frequently Asked Questions (SEO Optimized)
It supports correlation, regression, t-tests, ANOVA, and non-parametric tests including Mann-Whitney, Wilcoxon, Kruskal-Wallis, and Chi-Square.
Yes. OpenStat Advanced provides many commonly used SPSS tests without installation.
Yes, CSV uploads are fully supported.
Yes, it is completely free to use.
Frequently Asked Questions (Extended)
OpenStat Advanced is used for performing statistical analysis online, including correlation, regression, t-tests, ANOVA, and non-parametric tests without installing software.
Yes. The tool supports standard statistical tests used in academic research, making it suitable for assignments, theses, and research projects.
For many common analyses such as t-tests, ANOVA, correlation, regression, and non-parametric tests, OpenStat Advanced can serve as a lightweight SPSS alternative.
Yes. It supports Mann-Whitney U, Wilcoxon Signed-Rank, Kruskal-Wallis, Spearman Rank correlation, and Chi-Square tests.
Pearson correlation measures linear relationships between normally distributed variables.
Spearman correlation measures monotonic relationships and works with non-normal or ranked data.
Use a t-test when comparing two groups.
Use ANOVA when comparing three or more groups or when analyzing multiple factors.
Yes. Some analyses include assumption checks, such as independent observations in ANOVA.
Yes. The Two-Way ANOVA (Factorial) module analyzes Factor A, Factor B, and AĆB interaction effects.
Yes. You can upload CSV files or enter data manually into the table.
No. Data is processed instantly and not stored permanently, ensuring privacy and security.
Yes. You can:
– Export data as CSV
– Save complete analysis reports as PDF
Yes. The interface is designed to be simple and intuitive, even for users with basic statistical knowledge.
Yes. OpenStat Advanced is web-based and works on desktop, tablet, and mobile browsers.
You can select common confidence levels such as 95%, making it suitable for standard hypothesis testing.
No. All analyses can be performed using the graphical interface, with no coding required.
Yes. All statistical features are available completely free, with no signup required.
Yes. The tool is suitable for business analytics, market research, and data-driven decision making.