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Variance of Data is the expectation of the squared deviation of the random variable associated with the given statistical data from its population mean or sample mean. Check FAQs
σ2=NTrialsp(1-p)
σ2 - Variance of Data?NTrials - Number of Trials?p - Probability of Success?

Variance in Binomial Distribution Example

With values
With units
Only example

Here is how the Variance in Binomial Distribution equation looks like with Values.

Here is how the Variance in Binomial Distribution equation looks like with Units.

Here is how the Variance in Binomial Distribution equation looks like.

2.4Edit=10Edit0.6Edit(1-0.6Edit)
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Variance in Binomial Distribution Solution

Follow our step by step solution on how to calculate Variance in Binomial Distribution?

FIRST Step Consider the formula
σ2=NTrialsp(1-p)
Next Step Substitute values of Variables
σ2=100.6(1-0.6)
Next Step Prepare to Evaluate
σ2=100.6(1-0.6)
LAST Step Evaluate
σ2=2.4

Variance in Binomial Distribution Formula Elements

Variables
Variance of Data
Variance of Data is the expectation of the squared deviation of the random variable associated with the given statistical data from its population mean or sample mean.
Symbol: σ2
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Number of Trials
Number of Trials is the total number of repetitions of a particular random experiment, under similar circumstances.
Symbol: NTrials
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Probability of Success
Probability of Success is the probability of a specific outcome occurring in a single trial of a fixed number of independent Bernoulli trials.
Symbol: p
Measurement: NAUnit: Unitless
Note: Value should be between 0 to 1.

Other Formulas to find Variance of Data

​Go Variance of Binomial Distribution
σ2=NTrialspqBD
​Go Variance of Negative Binomial Distribution
σ2=NSuccessqBDp2

Other formulas in Binomial Distribution category

​Go Mean of Binomial Distribution
μ=NTrialsp
​Go Standard Deviation of Binomial Distribution
σ=NTrialspqBD
​Go Mean of Negative Binomial Distribution
μ=NSuccessqBDp
​Go Standard Deviation of Negative Binomial Distribution
σ=NSuccessqBDp

How to Evaluate Variance in Binomial Distribution?

Variance in Binomial Distribution evaluator uses Variance of Data = Number of Trials*Probability of Success*(1-Probability of Success) to evaluate the Variance of Data, Variance in Binomial Distribution formula is defined as the expectation of the squared deviation of the random variable associated with a statistical data following binomial distribution, from its population mean or sample mean. Variance of Data is denoted by σ2 symbol.

How to evaluate Variance in Binomial Distribution using this online evaluator? To use this online evaluator for Variance in Binomial Distribution, enter Number of Trials (NTrials) & Probability of Success (p) and hit the calculate button.

FAQs on Variance in Binomial Distribution

What is the formula to find Variance in Binomial Distribution?
The formula of Variance in Binomial Distribution is expressed as Variance of Data = Number of Trials*Probability of Success*(1-Probability of Success). Here is an example- 2.4 = 10*0.6*(1-0.6).
How to calculate Variance in Binomial Distribution?
With Number of Trials (NTrials) & Probability of Success (p) we can find Variance in Binomial Distribution using the formula - Variance of Data = Number of Trials*Probability of Success*(1-Probability of Success).
What are the other ways to Calculate Variance of Data?
Here are the different ways to Calculate Variance of Data-
  • Variance of Data=Number of Trials*Probability of Success*Probability of Failure in Binomial DistributionOpenImg
  • Variance of Data=(Number of Success*Probability of Failure in Binomial Distribution)/(Probability of Success^2)OpenImg
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