Gestion De Calidad

Subg. | X1 | X2 | promedio | intervalo |
1 | 498 | 483 | 490,5 | 15 |
2 | 490 | 496 | 493 | 6 |
3 | 491 | 491 | 491 | 0 |
4 | 489 | 499 | 494 | 10 |
5 | 491 | 487 | 489 | 4 |
6 | 490 | 481 |485,5 | 9 |
7 | 491 | 495 | 493 | 4 |
8 | 480 | 480 | 480 | 0 |
9 | 487 | 491 | 489 | 4 |
10 | 487 | 489 | 488 | 2 |
|
Carta x y R


X-bar and Range - Initial Study for promedio & rangoNumber of subgroups = 10
Subgroup size = 2,0
0 subgroups excluded

X-bar Chart
-----------
UCL: +3,0 sigma = 499,455
Centerline = 489,3
LCL: -3,0 sigma = 479,145

0 beyond limitsRange Chart
-----------
UCL: +3,0 sigma = 17,6505
Centerline = 5,4
LCL: -3,0 sigma = 0,0

0 beyond limits

Estimates
---------
Process mean = 489,3
Process sigma = 4,78723
Mean range =5,4



The StatAdvisor
---------------
This procedure creates X-Bar and R charts for promedio and rango.
It is designed to allow you to determine whether the data come from a
process whichis in a state of statistical control. The control
charts are constructed under the assumption that the data come from a
normal distribution with a mean equal to 489,3 and a standard
deviationequal to 4,78723. These parameters were estimated from the
data. Of the 10 nonexcluded points shown on the charts, 0 are beyond
the control limits on the first chart while 0 are beyond the limits onthe second chart. Since the probability of seeing 0 or more points
beyond the limits just by chance is 1,0 if the data comes from the
assumed distribution, we cannot reject the hypothesis that theprocess
is in a state of statistical control at the 90% or higher confidence
level.






Histograma
493 |
491 |
497 |
486 |
498 |
489 |
490 |
488 |
498 |
490 |
494 |
480 |
485|
498 |
490 |
491 |
488 |
491 |
497 |
486 |
493 |
495 |
500 |
490 |
480 |
481 |
491 |
500 |
487 |
500 |
480 |
493 |
485 |
497 |
500 |
485 |
486 |
487 |
500 |
487 |...