Determine your optimal sample size using a comprehensive suite of validated statistical formulas, instantly export your results, generate publication-ready flowcharts, and analyze your data using descriptive and inferential statistics.
Proportional Allocation
Distribute your sample proportionally across population strata, with full non-response rate adjustment.
Taro Yamane
Classic finite population formula for survey sampling. Fast, reliable, and universally recognized.
Cochran
Precision calculation for population proportions. Supports finite population correction and flexible input formats.
Other Formulas
Single Population Proportion.
Descriptive Statistics
Mean, median, mode, variance, standard deviation, range, quartiles, and summary statistics for your data.
Inferential Statistics
t-tests (one-sample, two sample, paired), ANOVA (One-Way, Two-way,ANCOVA, MANOVA), regression (linear, logistic, poisson), chi-square/fisher's exact, Kruskal-Wallis, Mann-Whitney, and others — with estimates, CIs, p-values, and effect size.
Proportional Allocation
Allocate sample sizes proportionally across population strata. Ensures each group is represented in proportion to its size in the total population.
Ready to calculate
Fill in the parameters and click Calculate to see the allocation breakdown.
Taro Yamane's Formula
Compute the required sample size for finite populations. Simple, widely cited, and assumes a 95% confidence level.
Ready to calculate
Enter population size and margin of error, then hit Calculate.
Cochran's Formula
Calculates the required sample size based on an estimated population proportion. Supports flexible input formats and finite population correction.
Ready to calculate
Enter proportion, Z-score, and margin of error, then hit Calculate.
Other Formulas
Additional sample size methods for proportion.
Ready to calculate
Select a formula, enter parameters, then hit Calculate.
Descriptive Statistics
Paste your data (with headers), select variables, and get comprehensive statistics — just like any statistical software! Supports both numerical and categorical data.
Inferential Statistical Tests
Import your data, set variable types, then select and run your desired test.