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| Variance : | |
| Standard Deviation : | |
| Count : | |
| Mean : | |
| Min : | |
| Max : | |
| Range : | |
| Mid Range : | |
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| Median : | |
| Mean Absolute Deviation : | |
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Variance is a measure of how much numbers in a data set are spread out from the mean and each other.
The formula for variance (\( \sigma^2 \)) is:
\[ \sigma^2 = \frac{\sum (X_i - \mu)^2}{N} \]
Input your data set into the calculator for instant variance calculation and other statistics.
Useful in academic research, data science, finance, and quality control for statistical analysis.
Variance is calculated by taking the average of the squared differences from the Mean. Formula: \( \sigma^2 = \frac{\sum (X_i - \mu)^2}{N} \).
Calculate the mean (3), find the squared differences, sum them up, and divide by 5.
Calculate the mean, find the squared differences, sum them up, and divide by 5.
Calculate the mean, find squared differences, sum them, divide by 10.
To understand the spread of data points in a dataset.
A measure of spread in a set of numbers.
Calculate the mean, find squared differences, sum them, divide by 6.
Calculate the mean, squared differences, sum, divide by 5.
Find the mean, calculate absolute differences, sum, divide by 7.
Use `VAR.P` for population or `VAR.S` for a sample.
Indicates wide spread of data points from the mean.
Consider scores like 65, 70, 75, 80. Variance shows deviation from their average.
Our Variance Calculator is a practical tool for comprehensive statistical analysis, enhancing understanding of complex data sets.