For a data set with 16 points shown below,
| ID | Data |
| 1 | -2.53802 |
| 2 | -0.98877 |
| 3 | -0.59679 |
| 4 | -0.45444 |
| 5 | -0.26573 |
| 6 | -0.2027 |
| 7 | -0.10798 |
| 8 | 0.124422 |
| 9 | 0.156302 |
| 10 | 0.162865 |
| 11 | 0.469599 |
| 12 | 0.667054 |
| 13 | 0.787399 |
| 14 | 1.209767 |
| 15 | 1.414172 |
| 16 | 1.718419 |
Tabulate the data generates the following stats:
| Min | -2.53802 |
| Mean | 0.097223 |
| Quantiles50 | 0.140362 |
| Quantiles95 | 1.718419 |
| Max | 1.718419 |
| Std Dev | 1.023793 |
I am curious to know how JMP derives 95 percentile or for any random percentile.
Thanks!