#### Discrete Distributions

Value/Range
Size
0 to 1
Value
Input Two-D
Input One-D Sorted
Input Attributes
Input Outliers
Union
Intersection
Union Attributes
Union Outliers

Space-Separated
42 18 46
Comma-Separated
42, 18, 46
Floats are Fine
42.6 18.94 46

#### Multi-Set Input Examples

Use Vertical Bar
88 22 66 1 5 18 46 23 20 10 42 18 46 1400| 18 33 4 65 5 20 17 | 88 18 33 45 46 8000

#### Watch Out For...

PDF files
If you see a 'non-numeric data' error, paste to a text file first, then re-copy
Histogram
Shows union set only.

#### 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
X
Sample Size
Probability

Result
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).
X
Sample Size
Pop. Success
Pop. Size

Result (Fraction)
Result (Decimal)
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
X
Lambda

Result
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
X
Trials
Probability

Result
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