Nishan Poojary
Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Udupi
Nishan Poojary has created this Calculator and 400+ more calculators!
Mona Gladys
St Joseph's College (St Joseph's College), Bengaluru
Mona Gladys has verified this Calculator and 400+ more calculators!

11 Other formulas that you can solve using the same Inputs

Binomial distribution
Binomial distribution=Number of trials!*(Probability of success of a single trial^Specific outcomes within trials)*(Probability of failure of a single trial^(Number of trials-Specific outcomes within trials))/(Specific outcomes within trials!*(Number of trials-Specific outcomes within trials)!) GO
Binomial Probability
Binomial Probability=Combination Probability (nCr)*((Probability of Success)^r Items)*((Probability of Failure )^(n Set-r Items)) GO
Variance of negative binomial distribution.
Variance of distribution=(Number of success*Probability of Failure )/(Probability of Success^2) GO
Standard deviation of negative binomial distribution
Standard Deviation=sqrt((Number of success*Probability of Failure )/(Probability of Success)) GO
Mean of negative binomial distribution
Mean of distribution=(Number of success*Probability of Failure )/Probability of Success GO
Standard deviation of geometric distribution
Standard Deviation=sqrt(Probability of Failure /(Probability of Success^2)) GO
Variance of geometric distribution.
Variance of distribution=Probability of Failure /(Probability of Success^2) GO
variance of binomial distribution
Variance=Number of trials*Probability of Success*(1-Probability of Success) GO
Variance population proportion
Variance=(Probability of Success*Probability of Failure )/Number of trials GO
Mean of geometric distribution
Mean of distribution=Probability of Failure /Probability of Success GO
mean of binomial distribution
Mean of distribution=Probability of Success*Number of trials GO

10 Other formulas that calculate the same Output

Standard deviation of hypergeometric distribution
Standard Deviation=sqrt((Number of items in sample*Number of success*(Number of items in population-Number of success)*(Number of items in population-Number of items in sample))/((Number of items in population^2)*(Number of items in population-1))) GO
Sample standard deviation
Standard Deviation=sqrt((sum of difference btw ith term and sample mean^2)/(Number of elements in population-1)) GO
population standard deviation
Standard Deviation=sqrt((sum of difference btw ith term and sample mean^2)/Number of elements in population) GO
Standard deviation of negative binomial distribution
Standard Deviation=sqrt((Number of success*Probability of Failure )/(Probability of Success)) GO
Standard Deviation
Standard Deviation=sqrt(Sum of square of residual variation/(Number of observations-1)) GO
Standard deviation of geometric distribution
Standard Deviation=sqrt(Probability of Failure /(Probability of Success^2)) GO
Standard Deviation
Standard Deviation=(Pessimistic time-Optimistic time)/6 GO
Standard deviation Using Z-score
Standard Deviation=(Value of A-Mean of data)/Z-score GO
Standard deviation of poisson distribution
Standard Deviation=sqrt(Mean of data) GO
Standard Deviation Of Data
Standard Deviation=(Variance)^2 GO

Standard deviation of binomial distribution Formula

Standard Deviation=sqrt((Number of trials)*(Probability of Success)*(1-Probability of Success))
σ=sqrt((n)*(p)*(1-p))
More formulas
mean of binomial distribution GO
variance of binomial distribution GO
Mean of negative binomial distribution GO
Variance of negative binomial distribution. GO
Standard deviation of negative binomial distribution GO

What is statistics?

Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied.

How to Calculate Standard deviation of binomial distribution?

Standard deviation of binomial distribution calculator uses Standard Deviation=sqrt((Number of trials)*(Probability of Success)*(1-Probability of Success)) to calculate the Standard Deviation, The Standard deviation of binomial distribution formula is definedby the formula SD = square root of( n * P * (1 - P). Where n is the number of trails and P is the probability of successful outcome. Standard Deviation and is denoted by σ symbol.

How to calculate Standard deviation of binomial distribution using this online calculator? To use this online calculator for Standard deviation of binomial distribution, enter Number of trials (n) and Probability of Success (p) and hit the calculate button. Here is how the Standard deviation of binomial distribution calculation can be explained with given input values -> 0.968246 = sqrt((5)*(0.75)*(1-0.75)).

FAQ

What is Standard deviation of binomial distribution?
The Standard deviation of binomial distribution formula is definedby the formula SD = square root of( n * P * (1 - P). Where n is the number of trails and P is the probability of successful outcome and is represented as σ=sqrt((n)*(p)*(1-p)) or Standard Deviation=sqrt((Number of trials)*(Probability of Success)*(1-Probability of Success)). The number of trials is the number of times a certain probabilistic event is tried out multiple times and Probability of Success is the ratio of success cases over all outcomes.
How to calculate Standard deviation of binomial distribution?
The Standard deviation of binomial distribution formula is definedby the formula SD = square root of( n * P * (1 - P). Where n is the number of trails and P is the probability of successful outcome is calculated using Standard Deviation=sqrt((Number of trials)*(Probability of Success)*(1-Probability of Success)). To calculate Standard deviation of binomial distribution, you need Number of trials (n) and Probability of Success (p). With our tool, you need to enter the respective value for Number of trials and Probability of Success and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
How many ways are there to calculate Standard Deviation?
In this formula, Standard Deviation uses Number of trials and Probability of Success. We can use 10 other way(s) to calculate the same, which is/are as follows -
  • Standard Deviation=(Pessimistic time-Optimistic time)/6
  • Standard Deviation=(Variance)^2
  • Standard Deviation=(Value of A-Mean of data)/Z-score
  • Standard Deviation=sqrt((Number of success*Probability of Failure )/(Probability of Success))
  • Standard Deviation=sqrt(Probability of Failure /(Probability of Success^2))
  • Standard Deviation=sqrt((Number of items in sample*Number of success*(Number of items in population-Number of success)*(Number of items in population-Number of items in sample))/((Number of items in population^2)*(Number of items in population-1)))
  • Standard Deviation=sqrt(Mean of data)
  • Standard Deviation=sqrt((sum of difference btw ith term and sample mean^2)/Number of elements in population)
  • Standard Deviation=sqrt((sum of difference btw ith term and sample mean^2)/(Number of elements in population-1))
  • Standard Deviation=sqrt(Sum of square of residual variation/(Number of observations-1))
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