Comprehensive collection of statistical calculators and visualization tools for data analysis and research.
Calculate central tendency measures for your dataset.
Measure the dispersion of your data points.
Calculate range and interquartile range metrics.
Find quartiles and create box plots for your data.
Comprehensive summary statistics for datasets.
Measure asymmetry and tailedness of distribution.
Calculate mean for frequency distribution data.
Calculate proportions of values in your data.
Basic probability calculations and rules.
Calculate probabilities for normal distribution.
Find quantiles from normal distribution probabilities.
Calculate probabilities for binomial experiments.
Calculate probabilities for rare events.
Count possible arrangements and selections.
Visualize and calculate compound probabilities.
Calculate conditional probabilities.
Update probabilities with new evidence.
Test hypotheses about population parameters.
Test for independence or goodness of fit.
Test how well data fits expected distribution.
Test association between categorical variables.
Compare means from two independent groups.
Compare means from related measurements.
Compare means across multiple groups.
Compare variances of two populations.
Compare proportions from two groups.
Non-parametric alternative to one-way ANOVA.
Non-parametric paired difference test.
Non-parametric two independent samples test.
Measure linear relationship between variables.
Non-parametric measure of monotonic relationship.
Measure ordinal association between variables.
Fit a straight line to your data points.
Model relationship with multiple predictors.
Fit logarithmic curve to your data.
Fit exponential growth/decay to data.
Fit polynomial curves to your data.
Visualize frequency distribution of data.
Display quantitative data while preserving values.
Simple display of data points on a number line.
Visualize relationship between two variables.
Assess if data follows theoretical distribution.
Visualize residuals from regression models.
Visualize data points indexed in time order.
Visualize distribution of wealth or inequality.
Visualize diagnostic ability of binary classifiers.
Standardize values using population parameters.
Standardize values using sample statistics.
Convert standard scores to percentiles.
Convert t-scores to percentiles.
Calculate probability of observed results.
Convert p-values to z-scores.
Estimate range for population parameters.
Find threshold values for hypothesis tests.
Calculate sampling error for estimates.
Determine required sample size for studies.
Measure magnitude of a phenomenon.
Calculate percentage below a given value.
Demonstrate Central Limit Theorem effects.
Simulate complex systems with randomness.
Resampling technique for estimating statistics.
Resampling method for bias reduction.
Measure correlation of a signal with itself.
Visualize likelihood of parameters given data.
Create frequency tables for categorical data.
Analyze relationship between variables.
Create tables showing cumulative counts.
Analyze two variables simultaneously.
Generate random samples from data.
Normalize or standardize your data.
Shuffle or generate random data.
Generate artificial datasets.
Calculate risk ratio for binary outcomes.
Measure association between events.
Smooth time series data.
Forecast time series data.
Measure inequality in distribution.
Measure biodiversity in ecosystems.
Measure uncertainty in probability distributions.
Calculate area under the ROC curve.