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Standard Deviation Calculator

Calculate sample and population standard deviation, mean, and variance. Get instant Excel formulas like =STDEV.S() for your data.

Data Type:
Enter your data (comma, space, or newline separated):
Calculation Results

Count (N)

6

Mean (Average)

13.3667

Variance

1.4467

Standard Deviation

1.2028

Excel Formula (Standard Deviation)

=STDEV.S(A1:A6)

Excel Formula (Mean (Average))

=AVERAGE(A1:A6)

Excel Formula (Variance)

=VAR.S(A1:A6)

What is the Standard Deviation Calculator?

The Standard Deviation Calculator is a professional online statistical tool designed to measure the dispersion of a dataset relative to its mean. Whether you are a student, researcher, or financial analyst, this tool instantly calculates both Sample and Population variance and standard deviation. More importantly, it acts as an Excel Formula Generator—automatically providing the exact Excel formulas (such as =STDEV.S() or =STDEV.P(), along with =AVERAGE()) tailored to your specific data count.

Core Principles & Mathematical Formulas (How it Works)

Understanding the difference between a "Sample" and a "Population" is critical in statistics, as it directly changes the underlying mathematical formula and the resulting variance.

1. Population Standard Deviation

Use this when your dataset represents the entire group you want to study (e.g., the heights of all 1,000 employees in a company).

σ=(xiμ)2N\sigma = \sqrt{\frac{\sum (x_i - \mu)^2}{N}}

  • σ\sigma = Population Standard Deviation

  • NN = Total number of data points

  • μ\mu = Population Mean

2. Sample Standard Deviation (Bessel's Correction)

Use this when your dataset is just a random subset drawn from a larger population (e.g., surveying only 50 employees).

s=(xixˉ)2n1s = \sqrt{\frac{\sum (x_i - \bar{x})^2}{n - 1}}

  • ss = Sample Standard Deviation

  • n1n - 1 = Degrees of freedom (Bessel's Correction)

  • xˉ\bar{x} = Sample Mean

Practical Pitfalls & Tips

Frequently Asked Questions (FAQ)

1. Should I use STDEV.S or STDEV.P in Excel?

In 95% of real-world scenarios, you should use =STDEV.S() because your data is typically a sample (a portion) of a larger population. You only use =STDEV.P() if you have exhaustively collected data from absolutely every member of the entire population.

2. Why is the sample variance always higher than the population variance?

Because the sample variance formula uses a smaller denominator (n1n-1 instead of NN). Dividing the same sum of squared differences by a smaller number mathematically guarantees a larger result. This is an intentional correction to avoid underestimating risk or volatility.

3. What is the difference between STDEVA and STDEV.S?

STDEVA evaluates text strings and logical values (like TRUE/FALSE) in its calculation, treating text and FALSE as 0, and TRUE as 1. On the other hand, STDEV.S strictly ignores empty cells, text, and logical values, focusing only on pure numbers.

4. How do I calculate standard deviation for multiple columns in Excel?

You can calculate it by selecting multiple separate ranges separated by commas inside the function. For example: =STDEV.S(A1:A10, C1:C10) will calculate the standard deviation for all numbers aggregated across both column A and column C.

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