Nishan Poojary
Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Udupi
Nishan Poojary has created this Calculator and 400+ more calculators!
Shweta Patil
Walchand College of Engineering (WCE), Sangli
Shweta Patil has verified this Calculator and 100+ more calculators!

11 Other formulas that you can solve using the same Inputs

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 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

Mean of sampling distribution of proportion Formula

Mean of sampling distribution of proportion=Probability of Success
μp=p
More formulas
Mean of sampling distribution of mean GO
Standard deviation of proportion GO
Standard deviation of proportion given probability of success GO
population standard deviation GO
variance of proportion GO
variance of proportion given probability of success GO

What is sampling distribution...?

A sampling distribution is a probability distribution of a statistic obtained from a larger number of samples drawn from a specific population. The sampling distribution of a given population is the distribution of frequencies of a range of different outcomes that could possibly occur for a statistic of a population. A sampling distribution is a statistic that is arrived out through repeated sampling from a larger population. It describes a range of possible outcomes that of a statistic, such as the mean or mode of some variable, as it truly exists a population. The majority of data analyzed by researchers are actually drawn from samples, and not populations.

How to Calculate Mean of sampling distribution of proportion?

Mean of sampling distribution of proportion calculator uses Mean of sampling distribution of proportion=Probability of Success to calculate the Mean of sampling distribution of proportion, The Mean of sampling distribution of proportion formula is defined by the formula μp = P, where μp is the mean of sampling distribution of proportion P is the probability of success in a population. Mean of sampling distribution of proportion and is denoted by μp symbol.

How to calculate Mean of sampling distribution of proportion using this online calculator? To use this online calculator for Mean of sampling distribution of proportion, enter Probability of Success (p) and hit the calculate button. Here is how the Mean of sampling distribution of proportion calculation can be explained with given input values -> 0.75 = 0.75.

FAQ

What is Mean of sampling distribution of proportion?
The Mean of sampling distribution of proportion formula is defined by the formula μp = P, where μp is the mean of sampling distribution of proportion P is the probability of success in a population and is represented as μp=p or Mean of sampling distribution of proportion=Probability of Success. Probability of Success is the ratio of success cases over all outcomes.
How to calculate Mean of sampling distribution of proportion?
The Mean of sampling distribution of proportion formula is defined by the formula μp = P, where μp is the mean of sampling distribution of proportion P is the probability of success in a population is calculated using Mean of sampling distribution of proportion=Probability of Success. To calculate Mean of sampling distribution of proportion, you need Probability of Success (p). With our tool, you need to enter the respective value for Probability of Success and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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