# Sample Standard Deviation Calculator

Calculate sample standard deviation from sample variance using the n - 1 denominator

> Canonical page: https://elysiatools.com/en/tools/sample-standard-deviation-calculator

- **Category:** Math & Numbers

- **Keywords:** sample standard deviation, standard deviation, sample variance, statistics, n-1, spread

## Overview

Calculate sample standard deviation for a numeric dataset.

Sample standard deviation is the square root of sample variance:

s = sqrt(sum((x - xbar)^2) / (n - 1))

Use it for sampled measurements, experiments, survey results, test scores, and any dataset intended to estimate spread in a larger population.

## Inputs

- **Dataset** (textarea): e.g. 600, 470, 170, 430, 300
- **Decimal Places** (number)
- **Include Population Comparison** (checkbox)

## When to use

- When analyzing a subset of data to estimate the variability of an entire population.
- When processing experimental measurements, survey responses, or quality control samples.
- When you need precise control over decimal formatting and want to compare sample versus population metrics.

## How it works

- Enter your numeric dataset as a comma-separated list in the input field.
- Specify the number of decimal places required for your final result.
- Toggle the population comparison option if you want to see how the sample standard deviation compares to the population standard deviation.
- The tool calculates the mean, computes the squared differences, divides by n - 1, and returns the exact sample standard deviation.

## Use cases

- Estimating the overall manufacturing tolerance based on a random sample of parts from an assembly line.
- Analyzing the variability in student test scores from a single classroom to infer the performance of the entire grade.
- Calculating the volatility of a stock's daily returns over a 30-day sample period.

## Frequently asked questions

### What is the difference between sample and population standard deviation?

Sample standard deviation divides by n - 1 (Bessel's correction) to provide an unbiased estimate of a larger population. Population standard deviation divides by N and is used when you have data for every single member of the group.

### How should I format my dataset?

Enter your numbers separated by commas. For example: 600, 470, 170, 430, 300.

### Why does the formula use n - 1?

Using n - 1 instead of n corrects the bias in the estimation of the population variance, ensuring the sample standard deviation is a more accurate reflection of the true population spread.

### Can I adjust the precision of the result?

Yes, you can set the Decimal Places option to round the calculated standard deviation to anywhere between 0 and 10 decimal places.

### What does the population comparison checkbox do?

It calculates and displays the population standard deviation alongside the sample standard deviation, allowing you to easily compare the two values for the exact same dataset.

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