Statistics
Standard Deviation Calculator
Quantify how widely values fan out around the mean with both sample and population σ plus supporting spread metrics.
Quantify spread with precise σ, variance, and coefficient of variation pulled straight from your dataset.
Standard deviation formulas
Sample s = √[Σ(x − x̄)² / (n − 1)] Population σ = √[Σ(x − μ)² / n]
Sample mode divides by n − 1 to remove bias when the data is a subset. Population mode divides by n when you have every observation.
How to use
- Paste numbers separated by commas, spaces, or new lines.
- Select sample or population mode to match your assignment or compliance rule.
- Optional: adjust decimal places to tighten or loosen the reported precision.
Example
Input: Data = 72, 74, 75, 80, 81, 84 (sample mode)
Output: Mean ≈ 77.67, s ≈ 4.68, Range = 12, CV ≈ 6.0%
Student-friendly breakdown
This walkthrough emphasizes the most searched ideas for Standard Deviation Calculator: Standard Deviation Calculator. Start with the formula above, then follow the guided steps to double-check your work. For quick revision, highlight the givens, plug into the equation, and finish by verifying your units.
Need more support? Use the links below to open the long-form guide, browse additional examples, or hop into adjacent calculators within the same topic. Each resource is interlinked so crawlers (and readers) can discover the next best action within a couple of clicks—one of the easiest ways to lift topical authority.
Deep dive & study plan
The Standard Deviation Calculator is a go-to tool whenever you need to computes σ, variance, range, and coefficient of variation from any dataset.. It focuses on standard deviation, sigma, volatility, dispersion, which means searchers often arrive with intent-heavy queries like “how to standard deviation calculator quickly” or “standard deviation calculator formula explained.” Use this calculator to capture those intents and keep learners on the page long enough to send positive engagement signals.
Under the hood, the calculator leans on sample mode divides by n − 1 to remove bias when the data is a subset. population mode divides by n when you have every observation.—that’s why we surface the full expression (“Sample s = √[Σ(x − x̄)² / (n − 1)] Population σ = √[Σ(x − μ)² / n]”) directly above the interactive widget. When you embed that formula inside H2s or supporting paragraphs, you help both humans and crawlers understand what entity the page represents.
Execution matters as much as the math. Follow the built-in procedure: Step 1: Paste numbers separated by commas, spaces, or new lines. Step 2: Select sample or population mode to match your assignment or compliance rule. Step 3: Optional: adjust decimal places to tighten or loosen the reported precision.. Each numbered instruction is short enough to scan on mobile but descriptive enough to satisfy Google’s Helpful Content guidelines. Encourage students to jot down units, double-check signs, and compare answers with the Example card to build confidence.
The Example section itself is packed with semantic clues: “Data = 72, 74, 75, 80, 81, 84 (sample mode)” leading to “Mean ≈ 77.67, s ≈ 4.68, Range = 12, CV ≈ 6.0%.” Pepper similar narratives throughout your copy (and internal links from related guides) so canonical search intents are answered without pogo-sticking back to Google.
Quick retention checklist
- Speak the formula aloud (or annotate it) so the relationships stick.
- Write each step in your own words and compare with the numbered list above.
- Swap in new numbers for the Example to make sure the calculator (and your logic) handles edge cases.
- Link out to at least two related calculators to keep readers exploring your topical hub.
FAQ & notes
When should I choose sample mode?
Use sample mode whenever you are estimating σ from a subset of a larger population—stats classes, surveys, or experiments. Population mode only applies when you have every possible observation.
Why is the coefficient of variation blank?
CV requires both a non-zero mean and a finite standard deviation. If your data is centered at zero or too short for sample σ, the metric is suppressed to avoid misleading percentages.
What formula does the Standard Deviation Calculator use?
Sample mode divides by n − 1 to remove bias when the data is a subset. Population mode divides by n when you have every observation.
How do I use the Standard Deviation Calculator?
Paste numbers separated by commas, spaces, or new lines. Select sample or population mode to match your assignment or compliance rule. Optional: adjust decimal places to tighten or loosen the reported precision.