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The Hyper-geometric Distribution Expected Value calculator computes the expected value based on the number of trials (n), the successful samples (N1), and the total samples (N).
INSTRUCTIONS: Enter the following:
- (n) This is the number of trials.
- (N1) This is the number of successful samples.
- (N) This is the total number of samples.
Expected Value: The calculator returns the expected value E(X).
Related Calculators:
- Pascal Distribution Expected Value
- Geometric Expected Value
- Binomial Distribution Expected Value
- Bernoulli Distribution Expected Value
- Geometric Distribution Expected Value
- Discrete Uniform Expected Value
- Hyper-geometric Distribution Expected Value
The Math / Science
In probability theory, the expected value (often noted as E(x)) refers to the expected average value of a random variable one would expect to find if one could repeat the random variable process a large number of time. In other words, the expected value is a weighted average of all possible values in the experiment.
The formula for the expected value of a Hypergeometric experiment is:
E(x) = n • (N1/N)
Where:
- E(x) = Expected value of a Hypergeometric experiment
- n = Number of trials
- N1 = Successful Samples
- N = Total Samples