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Variance of Data is the average of the squared differences between each data point and the mean of the dataset. It quantifies the overall variability or spread of the data points around the mean. Check FAQs
σ2=(Σx2N)-(μ2)
σ2 - Variance of Data?Σx2 - Sum of Squares of Individual Values?N - Number of Individual Values?μ - Mean of Data?

Variance of Data Example

With values
With units
Only example

Here is how the Variance of Data equation looks like with Values.

Here is how the Variance of Data equation looks like with Units.

Here is how the Variance of Data equation looks like.

6.25Edit=(85Edit10Edit)-(1.5Edit2)
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Variance of Data Solution

Follow our step by step solution on how to calculate Variance of Data?

FIRST Step Consider the formula
σ2=(Σx2N)-(μ2)
Next Step Substitute values of Variables
σ2=(8510)-(1.52)
Next Step Prepare to Evaluate
σ2=(8510)-(1.52)
LAST Step Evaluate
σ2=6.25

Variance of Data Formula Elements

Variables
Variance of Data
Variance of Data is the average of the squared differences between each data point and the mean of the dataset. It quantifies the overall variability or spread of the data points around the mean.
Symbol: σ2
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Sum of Squares of Individual Values
Sum of Squares of Individual Values is the sum of the squared differences between each data point and the mean of the dataset.
Symbol: Σx2
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Number of Individual Values
Number of Individual Values is the total count of distinct data points in a dataset.
Symbol: N
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Mean of Data
Mean of Data is the average value of all the data points in a dataset. It represents the central tendency of the data.
Symbol: μ
Measurement: NAUnit: Unitless
Note: Value can be positive or negative.

Other Formulas to find Variance of Data

​Go Variance given Standard Deviation
σ2=(σ)2

Other formulas in Variance category

​Go Variance of Scalar Multiple of Random Variable
VcX=(c2)σ2Random X
​Go Variance of Sum of Independent Random Variables
σ2Sum=σ2Random X+σ2Random Y
​Go Pooled Variance
VPooled=((NX-1)σ2X)+((NY-1)σ2Y)NX+NY-2

How to Evaluate Variance of Data?

Variance of Data evaluator uses Variance of Data = (Sum of Squares of Individual Values/Number of Individual Values)-(Mean of Data^2) to evaluate the Variance of Data, Variance of Data formula is defined as the average of the squared differences between each data point and the mean of the dataset. It quantifies the overall variability or spread of the data points around the mean. Variance of Data is denoted by σ2 symbol.

How to evaluate Variance of Data using this online evaluator? To use this online evaluator for Variance of Data, enter Sum of Squares of Individual Values (Σx2), Number of Individual Values (N) & Mean of Data (μ) and hit the calculate button.

FAQs on Variance of Data

What is the formula to find Variance of Data?
The formula of Variance of Data is expressed as Variance of Data = (Sum of Squares of Individual Values/Number of Individual Values)-(Mean of Data^2). Here is an example- 6.25 = (85/10)-(1.5^2).
How to calculate Variance of Data?
With Sum of Squares of Individual Values (Σx2), Number of Individual Values (N) & Mean of Data (μ) we can find Variance of Data using the formula - Variance of Data = (Sum of Squares of Individual Values/Number of Individual Values)-(Mean of Data^2).
What are the other ways to Calculate Variance of Data?
Here are the different ways to Calculate Variance of Data-
  • Variance of Data=(Standard Deviation of Data)^2OpenImg
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