Kalkulator Varians
Hitung varians populasi atau sampel dan visualisasikan setiap deviasi kuadrat untuk memahami cara ukuran sebaran ini dihitung.
σ² Squared Deviations from Mean
Enter your dataset and calculate variance to visualize
📚 What is Variance?
Understanding Variance
Variance (σ²) measures how far the numbers in a dataset are spread from their mean. It's the average of the squared deviations from the mean.
σ² = Σ(xᵢ − μ)² / N (Population)
s² = Σ(xᵢ − x̄)² / (n-1) (Sample)
Why squared deviations?
- Squaring removes negatives (otherwise deviations sum to 0)
- Squaring penalizes larger deviations more heavily
- The standard deviation is simply √variance — it brings the measure back to the original units
Low variance = data clustered near the mean. High variance = data is widely spread.
❓ FAQ
Frequently Asked Questions
Because variance involves squaring deviations, it's
in squared units (e.g., cm²). That's why standard deviation
(the square root) is usually preferred for interpretation —
it's in the same units as the data.
Zero variance means all values in the dataset are identical
— there is absolutely no spread. Every data point equals the
mean exactly.
Standard deviation = √variance. They measure the same thing,
but standard deviation is in the original units while
variance is in squared units.