Professional statistical analysis tools for researchers, data scientists, and students. Perform hypothesis tests, calculate descriptive statistics, analyze variance, measure accuracy, and conduct comprehensive statistical analysis with instant results and detailed interpretations.
Calculate critical values for Z, t, Chi-square, F, and r distributions. Find rejection regions for hypothesis testing with instant results and interpretations.
Create professional pie charts with real-time visualization. Add unlimited sectors, customize colors, sort data, and export charts instantly.
One-way ANOVA calculator with Tukey HSD post-hoc test. Compare 3+ group means with F-statistics, p-values, effect sizes, and pairwise comparisons.
Calculate accuracy, precision, recall, F1 score, and 15+ metrics from confusion matrix. Three methods: standard, prevalence-based, and percent error with instant interpretations.
Statistical AB testing calculator with significance analysis and sample size planning. Calculate p-values, confidence intervals, and test duration with real-time validation.
Calculate coin flip probabilities using binomial distribution. Get exact odds for heads or tails with real-time results, step-by-step solutions, and probability distribution charts.
Calculate binomial probabilities for repeated binary trials. Get exact probabilities with 6 types, interactive distribution charts, full probability table, and comprehensive statistical analysis.
Compare group means, test statistical significance, and analyze variance with comprehensive hypothesis testing tools.
Calculate precision, recall, F1 score, and 15+ classification metrics for machine learning and diagnostic testing.
Calculate mean, median, mode, standard deviation, and comprehensive descriptive statistics for data analysis.
Highly Significant
Strong evidence against null hypothesis. Less than 1% chance of random occurrence.
Significant
Standard threshold. Less than 5% chance results occurred by chance.
Marginally Significant
Weak evidence. Used in exploratory research but requires caution.
Not Significant
Insufficient evidence. Cannot reject null hypothesis with confidence.
Variance Analysis
Compare multiple group means and test for statistical differences across datasets.
Hypothesis Testing
Test null hypotheses and determine statistical significance of your research findings.
Distribution Analysis
Analyze data distributions, test normality, and evaluate statistical properties.
Correlation & Regression
Measure relationships between variables and predict outcomes with regression models.