Statistics Calculators

A free set of statistics tools for students, researchers and analysts — descriptive spread, standard scores, sampling, and correlation. Each shows the formula, a worked example and the assumptions behind the result.

Spread & descriptive

Scores & intervals

Sampling & relationships

From data set to conclusion

These tools cover the calculations that recur across statistics coursework and applied research: summarising spread with standard deviation, variance and coefficient of variation; standardising values with z-scores; quantifying the precision of an estimate with the standard error and confidence interval; planning a survey with the margin of error and sample size; and measuring association with the Pearson correlation coefficient. Every calculator states the equation it uses and works a numeric example so you can check the method as well as the answer.

Frequently asked questions

When do I use n versus n − 1?
Use n − 1 (sample) when your data is a sample of a larger population, which is the usual case. Use n only when you have the entire population.
What's the difference between standard deviation and standard error?
Standard deviation measures the spread of individual values; standard error measures how precisely the sample mean estimates the true mean, and shrinks as the sample grows.
Does a high correlation mean one thing causes the other?
No. Correlation measures association, not causation — a third variable may be driving both.