Sample Variance Calculator
Calculating sample variance…
Results
Formula Used
Sample Variance (s²) = Σ(xi – x̄)² / (n – 1)
where x̄ is the sample mean, n is the sample size.
The Sample Variance Calculator is an intuitive online tool designed to help you quickly calculate the sample variance (s²), sample mean, sample size, and sum of squared deviations from a given dataset. Whether you’re a student, researcher, data analyst, or statistician, this tool streamlines variance calculations with a detailed breakdown of each step—making it both educational and practical.
Sample variance is a core statistical measure used to determine the spread or dispersion of sample data. Instead of manually crunching numbers, this calculator automates the process, reducing the risk of human error while saving valuable time.
How to Use the Sample Variance Calculator
Follow these simple steps to compute your sample variance:
- Enter your data values
- Type or paste your dataset into the text box.
- You can separate numbers using commas, spaces, or new lines.
- Example input: CopyEdit
2, 4, 6, 8, 10
- Click “Calculate”
- Once you click the button, a progress bar will appear, simulating calculation time.
- View your results
- After a short wait, the calculator will display:
- Sample Variance (s²)
- Sample Mean (x̄)
- Sample Size (n)
- Sum of Squared Deviations (SSD)
- A step-by-step breakdown of the calculation process will also be provided.
- After a short wait, the calculator will display:
- Copy or Share results
- Click Copy Results to store the calculation in your clipboard.
- Use Share Results to send your findings via supported apps or copy a shareable link.
- Reset if needed
- Use the Reset button to start over with a fresh dataset.
Example Calculation
Let’s calculate the variance for the dataset:
Data: 5, 7, 3, 7, 9
Steps:
- Calculate the mean (x̄): iniCopyEdit
Mean = (5 + 7 + 3 + 7 + 9) / 5 = 31 / 5 = 6.2 - Find each deviation from the mean and square it:
- (5 – 6.2)² = (-1.2)² = 1.44
- (7 – 6.2)² = (0.8)² = 0.64
- (3 – 6.2)² = (-3.2)² = 10.24
- (7 – 6.2)² = (0.8)² = 0.64
- (9 – 6.2)² = (2.8)² = 7.84
- Sum of squared deviations (SSD): CopyEdit
1.44 + 0.64 + 10.24 + 0.64 + 7.84 = 20.8 - Divide by (n – 1): iniCopyEdit
Variance = SSD / (n - 1) = 20.8 / 4 = 5.2
Results:
- Sample Variance (s²): 5.2
- Sample Mean (x̄): 6.2
- Sample Size (n): 5
- SSD: 20.8
Key Features of the Sample Variance Calculator
- Instant calculations with a visually appealing progress indicator.
- Multiple input formats – paste or type numbers separated by commas, spaces, or new lines.
- Step-by-step breakdown for better understanding and learning.
- Copy & Share options for easy collaboration.
- Clear statistical formula displayed for reference.
- Reset option for quick re-calculations.
Benefits of Using This Tool
- Time-saving: No manual calculations needed.
- Accuracy: Eliminates human error in variance computation.
- Educational: Shows how variance is calculated step-by-step.
- User-friendly: Minimal input required; intuitive interface.
- Versatile: Works for academics, research, finance, and quality control.
Common Use Cases
- Education: Teachers and students use it to demonstrate statistical concepts.
- Research: Academics use it to analyze experimental data.
- Finance: Analysts apply it to measure stock return volatility.
- Manufacturing: Quality control teams check product measurement consistency.
- Sports Analytics: Analysts evaluate player performance variability.
Tips for Best Results
- Use enough data points – at least two numbers are required for variance.
- Double-check data entry before calculating.
- Understand variance – higher variance means more data spread; lower means more consistency.
- Use for samples, not populations – for population variance, the formula differs.
Frequently Asked Questions (FAQs)
1. What is sample variance?
Sample variance measures how spread out the values in a sample dataset are from the mean.
2. Why is (n – 1) used instead of n in the formula?
It’s used to correct bias when estimating population variance from a sample—this is called Bessel’s correction.
3. Can I enter decimal numbers?
Yes, the calculator supports both integers and decimals.
4. Is this tool suitable for population variance?
No, it’s specifically for sample variance; population variance uses a different denominator (n).
5. What is the difference between variance and standard deviation?
Variance is the squared deviation from the mean, while standard deviation is its square root.
6. Can I paste data from Excel?
Yes, you can paste numbers separated by spaces, commas, or line breaks.
7. How many numbers can I enter at once?
There is no strict limit, but extremely large datasets may slow the browser.
8. What does SSD mean?
SSD stands for Sum of Squared Deviations, the sum of squared differences from the mean.
9. How accurate is the calculation?
It’s accurate to six decimal places, suitable for most statistical needs.
10. Can I use this on mobile devices?
Yes, the calculator is mobile-friendly.
11. Is my data saved anywhere?
No, calculations happen entirely in your browser and are not stored.
12. Does the tool support negative numbers?
Yes, negative values are handled without issues.
13. Can I calculate variance for non-numerical data?
No, the calculator only works with numeric data.
14. What happens if I enter only one number?
The tool will prompt you to enter at least two numbers.
15. Can I share results directly from the tool?
Yes, using the “Share Results” button.
16. What if my dataset has missing values?
You should remove missing or invalid entries before calculating.
17. Can I use commas and spaces together?
Yes, the tool automatically handles multiple separators.
18. Does the tool require an internet connection?
Only to load the page—calculations are done locally.
19. Is the variance always positive?
Yes, since it’s based on squared deviations.
20. Can I export results to a file?
Not directly, but you can copy results and paste them into a document or spreadsheet.
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