Calculate Sample Standard Deviation (s)

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Calculation Results

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Mathematical Standard--

Calculated using Bessel's corrected sample standard deviation formula: s = \sqrt{\frac{\sum_{i=1}^{n} (x_i - \bar{x})^2}{n - 1}}

*Note: Sample standard deviation applies n - 1 degrees of freedom to eliminate negative estimation bias.

Quick Summary

The Sample Standard Deviation Calculator evaluates sample standard deviation ($s$), sample variance ($s^2$), degrees of freedom ($n-1$), and Standard Error of the Mean (SEM).

Formula Explanation

s = \sqrt{\frac{\sum_{i=1}^{n} (x_i - \bar{x})^2}{n - 1}}
s^2 = \frac{\sum_{i=1}^{n} (x_i - \bar{x})^2}{n - 1}

How It Works

When analyzing sample data drawn from a larger population, dividing sum of squares by $n-1$ (Bessel's correction) yields an unbiased estimator of population variance. The Sample Standard Deviation Calculator computes mean $\bar{x}$, sample variance $s^2$, and sample standard deviation $s$.

Step-by-Step Worked Example

Practical Problem: Calculate sample standard deviation for a sample of 5 items: 15, 20, 25, 30, 35 ($n = 5$).

  1. Step 1: Calculate sample mean ($\bar{x}$): $(15+20+25+30+35)/5 = 125 / 5 = \mathbf{25.0000}$.
  2. Step 2: Calculate squared deviations: $(-10)^2=100, (-5)^2=25, 0^2=0, 5^2=25, 10^2=100$.
  3. Step 3: Sum squared deviations ($SS$): $100 + 25 + 0 + 25 + 100 = \mathbf{250.0000}$.
  4. Step 4: Divide by $n - 1 = 4$ for sample variance ($s^2$): $s^2 = 250 / 4 = \mathbf{62.5000}$.
  5. Step 5: Take square root for sample standard deviation ($s$): $s = \sqrt{62.50} = \mathbf{7.9057}$.

Real-World Calculation Examples

Scenario 1: Sample Dataset (15 to 35)

Parameters: n = 5 sample
Result: Sample SD s 7.9057 (Sample Variance 62.50).

Scenario 2: Survey Respondent Age Sample

Parameters: 22, 28, 35, 42, 50
Result: Sample SD s 11.0227 (Degrees of freedom df = 4).

Scenario 3: Quality Inspection Batch Sampling

Parameters: 10.2, 10.5, 9.8, 10.1
Result: Sample SD s 0.2944 (SEM = 0.1472).

Scenario 4: Customer Order Value Sample

Parameters: $40, $55, $70, $85
Result: Sample SD s $19.36.

Key Benefits of Using This Calculator

Bessel's Correction ($n-1$)

Applies $n-1$ degrees of freedom for unbiased sample variance estimation.

Standard Error of Mean (SEM)

Computes SEM ($s / \sqrt{n}$) to measure sample mean sampling error.

Coefficient of Variation (CV %)

Displays relative variability percentage.

100% Free & Client-Side

Executes locally in your browser with zero latency or web server transmission.

Frequently Asked Questions (FAQ)

What is sample standard deviation ($s$)?

Sample standard deviation estimates population standard deviation based on a random subset sample.

Why does sample SD divide by n - 1?

Dividing by $n-1$ compensates for using the sample mean $\bar{x}$ instead of true population mean $\mu$.

What are degrees of freedom ($df$)?

Degrees of freedom ($df = n-1$) represent the number of independent values available to estimate variance.

How do I calculate sample SD in Excel?

Use Excel formula =STDEV.S(range).

What is symbol for sample standard deviation?

The lowercase letter $s$.

What is symbol for sample variance?

Lowercase $s^2$.

How does larger sample size $n$ affect sample SD?

Larger $n$ stabilizes sample SD closer to true population SD $\sigma$.

What is Standard Error of the Mean (SEM)?

$\text{SEM} = s / \sqrt{n}$ measures the standard deviation of the sample mean distribution.

Can sample SD be calculated for 1 observation ($n=1$)?

No — $n=1$ yields $n-1=0$, causing division by zero error.

How are confidence intervals calculated using sample SD?

A 95% confidence interval for mean is $\bar{x} \pm t^* \cdot (s / \sqrt{n})$.