Standard Deviation Calculator

Calculate standard deviation and variance with detailed statistical analysis

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Standard Deviation Calculator

Calculate the standard deviation and variance of a dataset. Our calculator supports both population and sample standard deviation calculations with detailed step-by-step results.

đŸ”ĸ Data Input

Enter numbers separated by commas

Select Population if the data contains all measurable values, or Sample if the data is a subset of a larger population

📊 Calculation Results

Standard Deviation (΃)
4.899
Count (N) 8
Sum (ÎŖx) 144
Mean (Îŧ) 18
Variance (ĪƒÂ˛) 24

Frequency Table

📝 Calculation Steps

📚 Understanding Standard Deviation

What is Standard Deviation?

Standard deviation (΃) measures how spread out data points are from the mean. A low standard deviation means data points are close to the mean, while high standard deviation indicates greater variability.

Population vs Sample

Use Population when you have all possible data points. Use Sample when your data represents a subset of a larger population and you want to estimate the population standard deviation.

Applications

Standard deviation is widely used in statistics, quality control, finance (risk assessment), weather analysis, and scientific research to understand data variability.

Population Standard Deviation

The population standard deviation is used when an entire population can be measured, and is the square root of the variance of a given data set. The formula is: ΃ = √(ÎŖ(xi - Îŧ)² / N)

Where xi is an individual value, Îŧ is the mean/expected value, and N is the total number of values.

Sample Standard Deviation

When it's not possible to sample every member of a population, we use sample standard deviation. The formula uses N-1 in the denominator (Bessel's correction): s = √(ÎŖ(xi - xĖ„)² / (N-1))

This correction reduces bias in the estimation of population standard deviation from sample data.