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Standard Deviation in Normal Distribution is the square root of expectation of the squared deviation of the given normal distribution following data from its population mean or sample mean. Check FAQs
σ=NSuccessqBDp
σ - Standard Deviation in Normal Distribution?NSuccess - Number of Success?qBD - Probability of Failure in Binomial Distribution?p - Probability of Success?

Standard Deviation of Negative Binomial Distribution Example

With values
With units
Only example

Here is how the Standard Deviation of Negative Binomial Distribution equation looks like with Values.

Here is how the Standard Deviation of Negative Binomial Distribution equation looks like with Units.

Here is how the Standard Deviation of Negative Binomial Distribution equation looks like.

2.357Edit=5Edit0.4Edit0.6Edit
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Standard Deviation of Negative Binomial Distribution Solution

Follow our step by step solution on how to calculate Standard Deviation of Negative Binomial Distribution?

FIRST Step Consider the formula
σ=NSuccessqBDp
Next Step Substitute values of Variables
σ=50.40.6
Next Step Prepare to Evaluate
σ=50.40.6
Next Step Evaluate
σ=2.35702260395516
LAST Step Rounding Answer
σ=2.357

Standard Deviation of Negative Binomial Distribution Formula Elements

Variables
Functions
Standard Deviation in Normal Distribution
Standard Deviation in Normal Distribution is the square root of expectation of the squared deviation of the given normal distribution following data from its population mean or sample mean.
Symbol: σ
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
Number of Success
Number of Success is the number of times that a specific outcome which is set as the success of the event occurs in a fixed number of independent Bernoulli trials.
Symbol: NSuccess
Measurement: NAUnit: Unitless
Note: Value should be greater than 0.
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.
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.
sqrt
A square root function is a function that takes a non-negative number as an input and returns the square root of the given input number.
Syntax: sqrt(Number)

Other Formulas to find Standard Deviation in Normal Distribution

​Go Standard Deviation of Binomial Distribution
σ=NTrialspqBD

Other formulas in Binomial Distribution category

​Go Mean of Binomial Distribution
μ=NTrialsp
​Go Variance of Binomial Distribution
σ2=NTrialspqBD
​Go Mean of Negative Binomial Distribution
μ=NSuccessqBDp
​Go Variance of Negative Binomial Distribution
σ2=NSuccessqBDp2

How to Evaluate Standard Deviation of Negative Binomial Distribution?

Standard Deviation of Negative Binomial Distribution evaluator uses Standard Deviation in Normal Distribution = sqrt(Number of Success*Probability of Failure in Binomial Distribution)/Probability of Success to evaluate the Standard Deviation in Normal Distribution, Standard Deviation of Negative Binomial Distribution formula is defined as the square root of expectation of the squared deviation of the random variable that follows Negative Binomial distribution, from its mean. Standard Deviation in Normal Distribution is denoted by σ symbol.

How to evaluate Standard Deviation of Negative Binomial Distribution using this online evaluator? To use this online evaluator for Standard Deviation of Negative Binomial Distribution, enter Number of Success (NSuccess), Probability of Failure in Binomial Distribution (qBD) & Probability of Success (p) and hit the calculate button.

FAQs on Standard Deviation of Negative Binomial Distribution

What is the formula to find Standard Deviation of Negative Binomial Distribution?
The formula of Standard Deviation of Negative Binomial Distribution is expressed as Standard Deviation in Normal Distribution = sqrt(Number of Success*Probability of Failure in Binomial Distribution)/Probability of Success. Here is an example- 2.357023 = sqrt(5*0.4)/0.6.
How to calculate Standard Deviation of Negative Binomial Distribution?
With Number of Success (NSuccess), Probability of Failure in Binomial Distribution (qBD) & Probability of Success (p) we can find Standard Deviation of Negative Binomial Distribution using the formula - Standard Deviation in Normal Distribution = sqrt(Number of Success*Probability of Failure in Binomial Distribution)/Probability of Success. This formula also uses Square Root (sqrt) function(s).
What are the other ways to Calculate Standard Deviation in Normal Distribution?
Here are the different ways to Calculate Standard Deviation in Normal Distribution-
  • Standard Deviation in Normal Distribution=sqrt(Number of Trials*Probability of Success*Probability of Failure in Binomial Distribution)OpenImg
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