Nishan Poojary
Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Udupi
Nishan Poojary has created this Calculator and 300+ 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
Standard deviation of binomial distribution
Standard Deviation=sqrt((Number of trials)*(Probability of Success)*(1-Probability of Success)) 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 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

11 Other formulas that calculate the same Output

Variance of hypergeometric distribution
Variance=((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 variance
Variance=((sum of difference btw ith term and sample mean^2)/(Number of elements in population-1)) GO
Variance of population
Variance=(sum of difference btw ith term and sample mean^2)/Number of elements in population GO
variance of proportion
Variance=(Probability of Success*(1-Probability of Success))/(Number of items in population) GO
Variance of population proportion given probability of success
Variance=(Probability of Success*(1-Probability of Success))/Number of trials GO
Variance population proportion
Variance=(Probability of Success*Probability of Failure )/Number of trials GO
Proportion Of Variance
Variance=1-Residual sum of squares/Total sum of squares GO
Variance
Variance=((Pessimistic time-Optimistic time)/6)^2 GO
Variance Using Z-Score
Variance=((Value of A-Mean of data)/Z-score)^2 GO
Variance Of Data
Variance=(Standard Deviation)^2 GO
Variance of Poisson distribution
Variance=Mean of data GO

variance of binomial distribution Formula

Variance=Number of trials*Probability of Success*(1-Probability of Success)
σ<sup>2</sup>=n*p*(1-p)
More formulas
mean of binomial distribution GO
Standard deviation 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 variance of binomial distribution?

variance of binomial distribution calculator uses Variance=Number of trials*Probability of Success*(1-Probability of Success) to calculate the Variance, The variance of binomial distribution formula is defined by the formula V = n * p * (1-P). where P is the probability of success nd n is the number of trails. Variance and is denoted by σ2 symbol.

How to calculate variance of binomial distribution using this online calculator? To use this online calculator for variance of binomial distribution, enter Number of trials (n) and Probability of Success (p) and hit the calculate button. Here is how the variance of binomial distribution calculation can be explained with given input values -> 0.9375 = 5*0.75*(1-0.75).

FAQ

What is variance of binomial distribution?
The variance of binomial distribution formula is defined by the formula V = n * p * (1-P). where P is the probability of success nd n is the number of trails and is represented as σ2=n*p*(1-p) or Variance=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 variance of binomial distribution?
The variance of binomial distribution formula is defined by the formula V = n * p * (1-P). where P is the probability of success nd n is the number of trails is calculated using Variance=Number of trials*Probability of Success*(1-Probability of Success). To calculate variance 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 Variance?
In this formula, Variance uses Number of trials and Probability of Success. We can use 11 other way(s) to calculate the same, which is/are as follows -
  • Variance=((Pessimistic time-Optimistic time)/6)^2
  • Variance=(Standard Deviation)^2
  • Variance=1-Residual sum of squares/Total sum of squares
  • Variance=((Value of A-Mean of data)/Z-score)^2
  • Variance=(Probability of Success*Probability of Failure )/Number of trials
  • Variance=((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)))
  • Variance=Mean of data
  • Variance=(Probability of Success*(1-Probability of Success))/Number of trials
  • Variance=(sum of difference btw ith term and sample mean^2)/Number of elements in population
  • Variance=((sum of difference btw ith term and sample mean^2)/(Number of elements in population-1))
  • Variance=(Probability of Success*(1-Probability of Success))/(Number of items in population)
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