Math, Science & Engineering 100% Local Processing Limit: Up to 100,000 data points

Standard Deviation & Descriptive Statistics Calculator

Compute sample and population standard deviation, variance, mean, median, mode, IQR, and quartiles from raw datasets.

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Descriptive Statistics & Standard Deviation

Sample Std Dev (s)
8.79
Bessel's correction (n - 1)
Population Std Dev (σ)
8.34
Entire population (N)
Mean (Average x̄)
84.10
Sum / Count
Median (Q2)
86.00
Middle sorted value

Detailed Statistical Metrics

Metric NameMathematical NotationComputed Value
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How to Use the Standard Deviation & Descriptive Statistics Calculator

  1. 1
    Paste or type raw numeric values separated by commas, spaces, or line breaks.
  2. 2
    Click "Calculate Statistics" to process the entire dataset.
  3. 3
    Inspect both Sample Standard Deviation (s, n-1 Bessel's correction) and Population Standard Deviation (σ, N).
  4. 4
    Review the Mean, Median, Mode, Variance, Range, Interquartile Range (IQR), and Sum.

Practical Example & Use Case

Common Real-World Scenario

Analyzing student test scores [78, 85, 92, 64, 88, 79, 95] to compute a sample mean of 83.0 and sample standard deviation of 10.4.

Technical Notes & Limitations

Browser Engine Architecture

Processed 100% in-browser memory using high-speed numerical loops without transmitting data to external servers.

Frequently Asked Questions

When should I use Sample vs Population Standard Deviation?

Use Population Standard Deviation (σ) when your dataset represents every single member of the entire group. Use Sample Standard Deviation (s) when your data represents a sample subset of a larger population.