Population vs sample
Population SD uses the full dataset (divides by n). Sample SD estimates the population from a subset (divides by n-1, Bessel's correction).
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Calculate mean, standard deviation, variance, and more from a number list.
Complete guide
Paste or type a list of numbers separated by commas or new lines. The calculator returns count, sum, mean, median, mode, standard deviation, variance, min, and max.
Choose Population (σ) if your data represents the entire group, or Sample (s) if it represents a subset. Sample standard deviation divides by n-1 (Bessel's correction).
Population SD uses the full dataset (divides by n). Sample SD estimates the population from a subset (divides by n-1, Bessel's correction).
Low SD means values cluster near the mean. High SD means values are spread out. Useful for measuring consistency, risk, and variability.
Mean for average. Median when there are outliers. Mode for most common value. SD for spread. Variance for further statistical calculations.
Answers
A measure of how spread out numbers are around the mean. Low SD means values are close together; high SD means they are spread apart.
Population SD divides by n (the full count). Sample SD divides by n-1 to correct for using a subset of data.
Find the mean, subtract it from each value, square each difference, average the squares, then take the square root.
Data points are spread far from the mean — high variability in the dataset.
Variance is the square of standard deviation. It quantifies the average squared deviation from the mean.
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