Calculate sample sizes &
analyze your data
with confidence
A complete suite of validated statistical formulas to determine the optimal sample size for your study, plus powerful descriptive statistics for data analysis — with instant export to Excel, Word, and publication-ready flowcharts.
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's Formula
Precision calculation for population proportions. Supports finite population correction and flexible input formats.
Other Formulas
Proportion, mean estimation, case-control, cohort, correlation, and prevalence studies — all in one place.
Descriptive Statistics
Mean, median, mode, variance, standard deviation, range, quartiles, and summary statistics for your data.
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 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 Statistical Formulas
Additional sample size methods for proportion, mean estimation, case-control, cohort, correlation, and prevalence studies.
Ready to calculate
Select a formula, enter parameters, then hit Calculate.
Descriptive Statistics Analyzer
Paste your data (with headers), select variables, and get comprehensive statistics — just like SPSS! Supports both numerical and categorical data.