Mean of hypergeometric distribution Calculator

Category	Math ↺
Math	Statistics ↺
Statistics	Hypergeometric distribution ↺

✖Number of items in sample is the count of how many numbers are are there in a sampleⓘ Number of items in sample [n]			+10% -10%
✖Number of success is the number of times the desired outcome has appeared in a given number of trials.ⓘ Number of success [z]			+10% -10%
✖Number of items in population is the count of how many numbers are are there in a populationⓘ Number of items in population [N]			+10% -10%

✖Mean of data is the average of all observations in a data.ⓘ Mean of hypergeometric distribution [x]

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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!

< 10 Other formulas that you can solve using the same Inputs

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

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

Standard deviation of proportion

Standard deviation of proportion=sqrt((Probability of Success*(1-Probability of Success))/(Number of items in population)) GO

Standard deviation of proportion given probability of success

Standard deviation of proportion=sqrt((Probability of Success)*(Probability of Failure )/(Number of items in population)) 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

variance of proportion

Variance=(Probability of Success*(1-Probability of Success))/(Number of items in population) GO

variance of proportion given probability of success

Variance=(Probability of Success)*(Probability of Failure )/(Number of items in population) GO

Mean of negative binomial distribution

Mean of distribution=(Number of success*Probability of Failure )/Probability of Success GO

Sample mean

Mean of data=Sum of observation/Number of items in sample GO

< 5 Other formulas that calculate the same Output

Population mean

Mean of data=Sum of observation/Number of elements in population GO

Sample mean

Mean of data=Sum of observation/Number of items in sample GO

Mean Using Coefficient Of Variation

Mean of data=Standard Deviation/Coefficient of variation GO

Mean Using Z-Score

Mean of data=Value of A-Z-score*Standard Deviation GO

Mean Of Data

Mean of data=(3*Median of data-Mode of data)/2 GO

Mean of hypergeometric distribution Formula

Mean of data=(Number of items in sample*Number of success)/(Number of items in population)
x=(n*z)/(N)

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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 Mean of hypergeometric distribution?

Mean of hypergeometric distribution calculator uses Mean of data=(Number of items in sample*Number of success)/(Number of items in population) to calculate the Mean of data, The Mean of hypergeometric distribution formula is defined by the formula u = n * k / N. Where n is the number of items in the sample , K is the number of items in population that are classified as success and N is the number of items in the population. Mean of data and is denoted by x symbol.

How to calculate Mean of hypergeometric distribution using this online calculator? To use this online calculator for Mean of hypergeometric distribution, enter Number of items in sample (n), Number of success (z) and Number of items in population (N) and hit the calculate button. Here is how the Mean of hypergeometric distribution calculation can be explained with given input values -> 2.5 = (50*5)/(100).

FAQ

What is Mean of hypergeometric distribution?

The Mean of hypergeometric distribution formula is defined by the formula u = n * k / N. Where n is the number of items in the sample , K is the number of items in population that are classified as success and N is the number of items in the population and is represented as x=(n*z)/(N) or Mean of data=(Number of items in sample*Number of success)/(Number of items in population). Number of items in sample is the count of how many numbers are are there in a sample, Number of success is the number of times the desired outcome has appeared in a given number of trials and Number of items in population is the count of how many numbers are are there in a population.

How to calculate Mean of hypergeometric distribution?

The Mean of hypergeometric distribution formula is defined by the formula u = n * k / N. Where n is the number of items in the sample , K is the number of items in population that are classified as success and N is the number of items in the population is calculated using Mean of data=(Number of items in sample*Number of success)/(Number of items in population). To calculate Mean of hypergeometric distribution, you need Number of items in sample (n), Number of success (z) and Number of items in population (N). With our tool, you need to enter the respective value for Number of items in sample, Number of success and Number of items in population 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 Mean of data?

In this formula, Mean of data uses Number of items in sample, Number of success and Number of items in population. We can use 5 other way(s) to calculate the same, which is/are as follows -

Mean of data=(3*Median of data-Mode of data)/2
Mean of data=Value of A-Z-score*Standard Deviation
Mean of data=Standard Deviation/Coefficient of variation
Mean of data=Sum of observation/Number of items in sample
Mean of data=Sum of observation/Number of elements in population

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