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Statistics Calculator

Descriptive stats, permutations & combinations, z-scores, confidence intervals & sample size

1Descriptive Statistics

Enter a list of numbers separated by commas, spaces, or new lines.

Separate values with commas, spaces, or line breaks.
How this works: Paste a list and you get n, sum, mean, median, mode, range, and variance/SD (sample divides by n−1, population by n). Permutations are nPr = n! / (n−r)!, combinations nCr = n! / (r!(n−r)!). z is (x − mean) / SD; confidence intervals use the usual two-tailed z values (1.96 for 95%).

2Permutations & Combinations

How many ways can you arrange or choose r items from a set of n?


3Z-Score Calculator

Find how many standard deviations a value is from the mean.


4Confidence Interval Calculator

Estimate the range that likely contains the true population mean.


5Sample Size Calculator

Work out how many respondents you need for a survey or study.

Use 0.5 for the maximum/conservative sample size if you're unsure of the true proportion.
Note: Sample statistics (variance, standard deviation) divide by n − 1 — the standard choice when your data is a sample drawn from a larger population. Population statistics divide by n and are used when your data set is the entire population. Confidence intervals and sample size calculations here use the standard two-tailed z critical values (90% → 1.645, 95% → 1.96, 99% → 2.576), which assume a large sample or known population standard deviation.

FAQ

What's the difference between sample and population standard deviation?

Population standard deviation divides by n, used when your data is the entire group you care about. Sample standard deviation divides by n−1, used when your data is a sample meant to estimate a larger population — the n−1 version is slightly larger, correcting for the extra uncertainty of estimating from a sample.

What's the difference between permutations and combinations?

Permutations (nPr) count arrangements where order matters, like 1st/2nd/3rd place. Combinations (nCr) count selections where order doesn't matter, like picking a 3-person committee. For the same n and r, nCr is always smaller than or equal to nPr.

How is the confidence interval calculated?

From your sample mean and standard deviation, using the standard two-tailed z-value for your chosen confidence level — 1.96 for 95%, for example. A higher confidence level or a smaller sample size both widen the interval.

Why would median or mode matter if I already have the mean?

The mean can be pulled a long way by a few extreme values. The median (the middle value) and mode (the most frequent value) describe the "typical" data point differently, and are more reliable than the mean when your data has outliers or a skewed shape.