| PoissonDistribution(1.2) | |
|---|---|
| Methods | Output |
| getMean() | 1.2 |
| getVariance() | 1.2 |
| PDF(2) | 0.21685983257679 |
| CDF(3) | 0.96623103181434 |
| ICDF(0.9662) | 3 |
| RNG(1) | 1 |
| PDF(X_VALS) | |
|---|---|
| X Vals Input | P Vals Output |
| 0 | 0.3011942119122 |
| 1 | 0.36143305429464 |
| 2 | 0.21685983257679 |
| 3 | 0.086743933030714 |
| 4 | 0.026023179909214 |
| 5 | 0.0062455631782114 |
| CDF(X_VALS) | |
|---|---|
| X Vals Input | P Vals Output |
| 0 | 0.3011942119122 |
| 1 | 0.66262726620684 |
| 2 | 0.87948709878363 |
| 3 | 0.96623103181434 |
| 4 | 0.99225421172356 |
| 5 | 0.99849977490177 |
| ICDF(P_VALS) | |
|---|---|
| P Vals Input | X Vals Output |
| 0.3011942119122 | 0 |
| 0.66262726620684 | 1 |
| 0.87948709878363 | 3 |
| 0.96623103181434 | 3 |
| 0.99225421172356 | 4 |
| 0.99849977490177 | 6 |
| RNG(N) | |
|---|---|
| Index | Rnd Vals |
| 0 | 0 |
| 1 | 2 |
| 2 | 2 |
| 3 | 1 |
| 4 | 0 |
| 5 | 1 |
| 6 | 3 |
| 7 | 1 |