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The Bernoulli Distribution Expected Value calculator computes the expected value based on the success rate (p).
INSTRUCTIONS: Enter the following:
- (p) This is the success rate
Expected Value: The calculator returns the expected value.
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.
In probability theory, a Bernoulli trial is a random binary experiment with the two outcomes being either "success/failure" or "yes/no". For it to be a Bernoulli trial the success and failure rate must be the same for each repeated experiment.
The calculation for this is very easy but understanding how a Bernoulli trial works is essential to understanding probability.
Variables:
- `p` = Success Rate
Equation:
`E(x) = p`