🧮 Math Calculator

Standard Deviation Calculator

Calculate population and sample standard deviation with comprehensive statistical analysis. Perfect for students, researchers, and professionals working with data analysis and statistics.

Standard Deviation Calculator

Calculate population and sample standard deviation with comprehensive statistical analysis

Enter Your Data

Separate numbers with commas

Check if you have the entire population. Leave unchecked for sample data.

Numbers entered:
0
Sample variance (n-1)

About Standard Deviation

• Population SD: Use when you have data for entire population

• Sample SD: Use when you have data from a sample

• Higher SD = more spread out data

• Z-scores show how many SDs a value is from mean

Standard Deviation Examples

1, 2, 3, 4, 5
SD: 1.58 (low variability)
1, 5, 10, 15, 20
SD: 7.91 (high variability)
10, 10, 10, 10, 10
SD: 0 (no variability)

Understanding Standard Deviation

Standard deviation is a measure of variability that indicates how spread out the values in a dataset are from the mean. It's one of the most important statistical measures for understanding data distribution and variability.

Our calculator provides both population and sample standard deviation calculations. Population standard deviation is used when you have data for an entire population, while sample standard deviation is used when you have data from a sample of a larger population.

The calculator also provides additional insights including variance, coefficient of variation, z-scores, and outlier detection to give you a comprehensive understanding of your data.

How to Use This Calculator

1Enter your numbers separated by commas in the input field
2Choose whether your data represents a population or sample
3Click "Calculate Standard Deviation" to analyze your data
4Review the comprehensive statistical analysis and insights

When to Use Standard Deviation

📊

Data Analysis

Use standard deviation to understand the spread and variability in your dataset.

🎯

Quality Control

Monitor process consistency and identify variations in manufacturing or processes.

📈

Research & Studies

Analyze experimental results and understand the reliability of your findings.