Graficos De Control

Variable: Peso Mujer

Number of observations = 26

0 observations excluded

X Chart

-------

UCL: +3,0 sigma = 82,0671

Centerline = 58,7692

LCL: -3,0 sigma = 35,4714

0 beyond limits

MR(2) Chart

-----------

UCL: +3,0 sigma = 28,6331

Centerline = 8,76

LCL: -3,0 sigma = 0,0

0 beyond limits

Estimates

---------

Process mean = 58,7692

Process sigma = 7,76596

Mean MR(2) = 8,76

The StatAdvisor

---------------

This procedure creates an individuals chart for Col_1. It is

designed to allow you to determine whether the data come from a

process which is 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 58,7692 and a standard

deviation equal to 7,76596. These parameters were estimated from the

data. Of the 26 nonexcluded points shown on the charts, 0 are beyond

the control limits on the first chart while 0 are beyond the limits on

the 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 the process

is in a state of statistical control at the 90% or higher confidence

level.

Variable: Ancho Mujer

X and MR(2) - Initial Study for Col_2

Number of observations = 26

0 observations excluded

X Chart

-------

UCL: +3,0 sigma = 50,4597

Centerline = 42,9385

LCL: -3,0 sigma = 35,4172

0 beyond limits

MR(2) Chart

-----------

UCL: +3,0 sigma = 9,24365

Centerline = 2,828

LCL: -3,0 sigma = 0,0

0 beyond limits

Estimates

---------

Process mean = 42,9385

Process sigma = 2,50709

Mean MR(2) = 2,828

The StatAdvisor

---------------

This procedure creates an individuals chart for Col_2. It is

designed to allow you to determine whether the data come from a

process which is 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 42,9385 and a standard

deviation equal to 2,50709. These parameters were estimated from the

data. Of the 26 nonexcluded points shown on the charts, 0 are beyond

the control limits on the first chart while 0 are beyond the limits on

the 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 the process

is in a state of statistical control at the 90% or higher confidence

level.

Variable: Altura Mujer

X and MR(2) - Initial Study for Col_3

Number of observations = 26

0 observations excluded

X Chart

-------

UCL: +3,0 sigma = 178,65

Centerline = 163,65

LCL: -3,0 sigma = 148,65

1 beyond limits

MR(2) Chart

-----------

UCL: +3,0 sigma = 18,435

Centerline = 5,64

LCL: -3,0 sigma = 0,0

0 beyond limits

Estimates

---------

Process mean = 163,65

Process sigma = 5,0

Mean MR(2) = 5,64

The StatAdvisor

---------------

This procedure creates an individuals chart for Col_3. It is

designed to allow you to determine whether the data come from a

process which is 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 163,65 and a standard

deviation equal to 5,0. These parameters were estimated from the

data. Of the 26 nonexcluded points shown on the charts, 1 is beyond

the control limits on the first chart while 0 are beyond the limits on

the second chart. Since the probability of seeing 1 or more points

beyond the limits just by chance is 0,000701744 if the data comes from

the assumed distribution, we can declare the process to be out of

control at the 99% confidence level.

Variable: distancia de asimiento Mujer

X and MR(2) - Initial Study for Col_4

Number of observations = 26

0 observations excluded

X Chart

-------

UCL: +3,0 sigma = 79,0895

Centerline = 69,2385

LCL: -3,0 sigma = 59,3874

0 beyond limits

MR(2) Chart

-----------

UCL: +3,0 sigma = 12,107

Centerline = 3,704

LCL: -3,0 sigma = 0,0

0 beyond limits

Estimates

---------

Process mean = 69,2385

Process sigma = 3,28369

Mean MR(2) = 3,704

The StatAdvisor

---------------

This procedure creates an individuals chart for Col_4. It is

designed to allow you to determine whether the data come from a

process which is 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 69,2385 and a standard

deviation equal to 3,28369. These parameters were estimated from the

data. Of the 26 nonexcluded points shown on the charts, 0 are beyond

the control limits on the first chart while 0 are beyond the limits on

the 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 the process

is in a state of statistical control at the 90% or higher confidence

level.

Variable: Peso Hombre

X and MR(2) - Initial Study for Col_5

Number of observations = 5

0 observations excluded

...