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Standard Deviation Calculator – Analyze Data Spread Easily


Standard Deviation Calculator


Results

Status

Enter your data and click “Calculate” to see results.

Mean (Average)

Variance

Standard Deviation

Data Distribution (Histogram)

Calculation Steps

Interpretation Tip

A low standard deviation indicates that the data points tend to be close to the mean, while a high standard deviation indicates that the data points are spread out over a wider range of values.

Standard Deviation Calculator – Analyze Data Spread Easily

Standard deviation is a key statistical measure that shows how data points are spread around the mean. It is widely used in mathematics, science, finance, and quality control to understand variability in data. A Standard Deviation Calculator helps you quickly calculate this measure without manual errors.

Why Standard Deviation Matters

  • Data Analysis: Understand how consistent or varied your data is.
  • Quality Control: Measure deviations in manufacturing or production processes.
  • Finance: Evaluate risk and volatility in investments.
  • Education: Learn about variability and spread in datasets.

Standard Deviation Formula

For a dataset of n values (x₁, x₂, …, xn), the population standard deviation (σ) is:

σ = √( Σ(xᵢ − μ)² / n )

  • xᵢ – Each data point
  • μ – Mean of the data points
  • n – Total number of data points

For a sample standard deviation (s), divide by (n − 1) instead of n:

)² / (n − 1) )

How the Standard Deviation Calculator Works

  1. Enter your dataset (comma-separated or space-separated numbers).
  2. Select whether you are calculating a population or sample standard deviation.
  3. The calculator computes the mean (average) of the dataset.
  4. It then calculates the squared differences between each data point and the mean.
  5. Finally, it sums the squared differences, divides by n (or n−1), and takes the square root to find the standard deviation.

Step-by-Step Example

Problem: Find the standard deviation for the dataset: 5, 7, 3, 7, 9
Step 1: Calculate the mean:
μ = (5 + 7 + 3 + 7 + 9) / 5 = 31 / 5 = 6.2
Step 2: Calculate each squared difference:
(5 − 6.2)² = 1.44, (7 − 6.2)² = 0.64, (3 − 6.2)² = 10.24, (7 − 6.2)² = 0.64, (9 − 6.2)² = 7.84
Step 3: Sum the squared differences:
1.44 + 0.64 + 10.24 + 0.64 + 7.84 = 20.8
Step 4: Divide by n (population) or n−1 (sample):
Population: 20.8 / 5 = 4.16 → σ = √4.16 ≈ 2.04
Sample: 20.8 / (5−1) = 20.8 / 4 = 5.2 → s = √5.2 ≈ 2.28
Result: Population SD ≈ 2.04, Sample SD ≈ 2.28

FAQs – Standard Deviation Calculator

1. What is standard deviation?
It measures how spread out data points are from the mean.

2. Difference between population and sample standard deviation?
Population SD divides by n; sample SD divides by n−1 to account for sampling bias.

3. Why is standard deviation important?
It helps understand data variability and consistency.

4. Can I use it for large datasets?
Yes, the calculator can handle large numbers of data points.

5. Is it useful in finance?
Yes, it helps measure investment risk and volatility.

6. Can I enter decimals?
Absolutely. It works with integers and decimal numbers.

7. Do I need to know the formula?
No, the calculator automatically computes the standard deviation.

8. Can it handle negative numbers?
Yes, negative values are included in the calculation.

9. Is it suitable for students?
Yes, perfect for homework, research, and learning statistics.

10. Is this tool free and online?
Yes, completely free and accessible in any browser.