Input Examples
- Value
- Type an integer
- Range
- Dash-separated range, like this: 1-5
- Probability
- Number between 0 and 1, like 0.736
- Lambda
- Can be integer or float
- In General...
- All inputs are positive numbers
- Portions can't be greater than wholes
Binomial
The Binomial Distribution gives the probability of 'X' successes, where:
- 'X' is a number or range of numbers (integer only)
- 'Probability' is the chance of each event happening
- The probability of each 'success' denoted in 'X' is equal
- For each 'X' tested, the same event is not tested again (like taking cards from a deck without replacing).
Hyper-Geometric
The Hyper-Geometric Distribution gives the probability of 'X' successes, where:
- 'X' is a number or range of numbers (integer only)
- 'Pop. Success' is the number of successes in the greater population from which the sample is taken
- 'Pop. Size' is the size of the greater population from which the sample is taken
- Result is the same whether expressed as fraction or decimal
Poisson
The Poisson Distribution gives the probability of 'X' successes, where:
- 'X' is a number or range of numbers (integer only)
- 'Lambda' is the expected value of x
Negative Binomial
The Negative Binomial Distribution gives the probability of 'X' successes, where:
- 'X' is an integer
- 'Failures' the number of tries before reaching success.
- 'Probability' is the chance of each event happening