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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=pqBDn
σ2 - Variance of Data?p - Probability of Success?qBD - Probability of Failure in Binomial Distribution?n - Sample Size?

Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure Example

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Here is how the Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure equation looks like with Values.

Here is how the Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure equation looks like with Units.

Here is how the Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure equation looks like.

0.0037Edit=0.6Edit0.4Edit65Edit
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Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure Solution

Follow our step by step solution on how to calculate Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure?

FIRST Step Consider the formula
σ2=pqBDn
Next Step Substitute values of Variables
σ2=0.60.465
Next Step Prepare to Evaluate
σ2=0.60.465
Next Step Evaluate
σ2=0.00369230769230769
LAST Step Rounding Answer
σ2=0.0037

Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure 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.
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.
Probability of Failure in Binomial Distribution
Probability of Failure in Binomial Distribution is the probability of a specific outcome not occurring in a single trial of a fixed number of independent Bernoulli trials.
Symbol: qBD
Measurement: NAUnit: Unitless
Note: Value should be between 0 to 1.
Sample Size
Sample Size is the total number of individuals present in a particular sample drawn from the given population under investigation.
Symbol: n
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.

Other Formulas to find Variance of Data

​Go Variance in Sampling Distribution of Proportion
σ2=p(1-p)n

Other formulas in Sampling Distribution category

​Go Standard Deviation in Sampling Distribution of Proportion
σ=p(1-p)n
​Go Standard Deviation in Sampling Distribution of Proportion given Probabilities of Success and Failure
σ=pqBDn
​Go Standard Deviation of Population in Sampling Distribution of Proportion
σ=(Σx2N)-((ΣxN)2)

How to Evaluate Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure?

Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure evaluator uses Variance of Data = (Probability of Success*Probability of Failure in Binomial Distribution)/Sample Size to evaluate the Variance of Data, Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure formula is defined as the expectation of the squared deviation of the random variable that follows sampling distribution of proportion, from its mean, and calculated using both success and failure probabilities. Variance of Data is denoted by σ2 symbol.

How to evaluate Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure using this online evaluator? To use this online evaluator for Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure, enter Probability of Success (p), Probability of Failure in Binomial Distribution (qBD) & Sample Size (n) and hit the calculate button.

FAQs on Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure

What is the formula to find Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure?
The formula of Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure is expressed as Variance of Data = (Probability of Success*Probability of Failure in Binomial Distribution)/Sample Size. Here is an example- 0.003692 = (0.6*0.4)/65.
How to calculate Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure?
With Probability of Success (p), Probability of Failure in Binomial Distribution (qBD) & Sample Size (n) we can find Variance in Sampling Distribution of Proportion given Probabilities of Success and Failure using the formula - Variance of Data = (Probability of Success*Probability of Failure in Binomial Distribution)/Sample Size.
What are the other ways to Calculate Variance of Data?
Here are the different ways to Calculate Variance of Data-
  • Variance of Data=(Probability of Success*(1-Probability of Success))/Sample SizeOpenImg
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