Calculate mean, median, mode, standard deviation, and variance from your data
Compute confidence intervals for means, proportions, and variances
Perform t-tests, z-tests, and chi-square tests on your data
Analyze relationships between variables with scatter plots and regression lines
Calculate Pearson, Spearman, and Kendall correlations with visualization
Evaluate PDFs, CDFs, and quantiles for common probability distributions
Apply various grading curves to exam scores and visualize grade distributions
Welcome to the most comprehensive free statistics calculator available online. Whether you're a student working on statistics homework, a researcher analyzing experimental data, or a professional making data-driven decisions, our platform provides accurate calculations with detailed explanations and interactive visualizations.
Statistics is the foundation of scientific research, business intelligence, and evidence-based decision making. Yet many people struggle with statistical analysis due to expensive software licenses, complex interfaces, or limited access to computational resources. Our mission is to democratize data analysis by providing free, accessible, and mathematically rigorous tools that anyone can use.
Every calculator on this platform uses industry-standard algorithms validated against established statistical software like R and Python SciPy. We implement numerically stable methods such as Welford's algorithm for variance calculations, Satterthwaite approximation for degrees of freedom, and Fisher's z-transformation for correlation confidence intervals. All calculations happen directly in your browser, ensuring complete data privacy—your sensitive data never leaves your device.
Select from descriptive statistics, confidence intervals, hypothesis tests, correlation analysis, linear regression, probability distributions, or grade curving tools. Each calculator is designed for specific statistical methods and provides comprehensive output.
Enter data manually (comma or space-separated), paste from spreadsheets like Excel or Google Sheets, or upload CSV files. Our parsers handle various formats automatically. For most calculators, manual entry is the quickest method for small datasets.
Adjust settings like confidence level (90%, 95%, 99%), significance level (alpha), hypothesis test alternatives (two-tailed, greater, less), or regression types (simple, multiple, polynomial). Default values follow standard statistical conventions.
View detailed statistical outputs including measures of central tendency, confidence intervals, p-values, effect sizes, and assumption checks. Interactive charts visualize distributions, correlations, and regression lines with confidence bands.
Read our comprehensive guides in the Statistics Learning Hub to understand when to use each test, how to interpret results, and common pitfalls to avoid. Each calculator includes explanations of the underlying methodology and assumptions.
All calculations use numerically stable algorithms for accurate results.