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Calculate statistical variance and standard deviation for your data set.
Enter numbers separated by commas, spaces, or new lines:
This variance calculator measures how far your numbers spread around the mean. It computes variance and standard deviation for any valid list of numbers. You can pick Population Variance or Sample Variance based on your data. The tool also shows the mean and the count, right after you run it.
Inputs you provide
The language stays clear, and the math stays transparent. You see each step after you calculate your results.
The variance calculator follows standard statistics methods used in classes and labs. First it finds the mean by summing your values and dividing by the count. Next it subtracts the mean from each value and squares those differences. Then it adds the squared differences. For Population Variance it divides that sum by N. For Sample Variance it divides that sum by N minus 1. It then takes the square root of the variance to get the standard deviation. Results show with four decimal places for quick reading.
What the results mean
Variance uses squared units, so it often feels large. Standard deviation brings the scale back to your original units.
How to use this tool
Interpreting the step by step view
A variance calculator saves time and reduces mistakes in everyday analysis. It also helps you explain your work with clear steps. You can study the spread at a glance, and share the math behind it with confidence.
Common use cases
Notes and limits
You see every calculation step after you hit Calculate. From the mean to the squared differences to the final square root. This clarity makes the method easy to trust and easy to teach. Pick the right variance mode, enter clean data, and check the steps to confirm the math.
This variance calculator gives fast, clear results for spread and average. It supports Population Variance and Sample Variance, and it displays standard deviation, mean, and count. Enter your data, run the numbers, and use the step by step view to learn and confirm your work.
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